from qiskit import QuantumCircuit
result = create_unitary_from_matrix()
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 2
assert len(result.data) > 0

Prompt:
Using Qiskit v0.43, Write the function that converts the matrix [[0, 0, 0, 1],[0, 0, 1, 0],[1, 0, 0, 0],[0, 1, 0, 0]] into a unitary gate and apply it to a Quantum Circuit. Then return the circuit.
You must implement this using a function named `create_unitary_from_matrix` with no arguments.

You must define a function named `create_unitary_from_matrix` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result = create_unitary_from_matrix()
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 2
assert len(result.data) > 0

Prompt:
Using Qiskit v1.3, Write the function that converts the matrix [[0, 0, 0, 1],[0, 0, 1, 0],[1, 0, 0, 0],[0, 1, 0, 0]] into a unitary gate and apply it to a Quantum Circuit. Then return the circuit.
You must implement this using a function named `create_unitary_from_matrix` with no arguments.

You must define a function named `create_unitary_from_matrix` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result = create_unitary_from_matrix()
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 2
assert len(result.data) > 0

Prompt:
Using Qiskit v2.0, Write the function that converts the matrix [[0, 0, 0, 1],[0, 0, 1, 0],[1, 0, 0, 0],[0, 1, 0, 0]] into a unitary gate and apply it to a Quantum Circuit. Then return the circuit.
You must implement this using a function named `create_unitary_from_matrix` with no arguments.

You must define a function named `create_unitary_from_matrix` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


circuit = create_parametrized_gate()
assert circuit.num_qubits == 1
assert circuit.data[0].operation.name == "rx"
assert circuit.data[0].operation.params[0].name == "theta"

Prompt:
Using Qiskit v0.43, Generate a 1 qubit QuantumCircuit with a parametrized Rx gate with parameter "theta".
You must implement this using a function named `create_parametrized_gate` with no arguments.

You must define a function named `create_parametrized_gate` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


circuit = create_parametrized_gate()
assert circuit.num_qubits == 1
assert circuit.data[0].operation.name == "rx"
assert circuit.data[0].operation.params[0].name == "theta"

Prompt:
Using Qiskit v1.3, Generate a 1 qubit QuantumCircuit with a parametrized Rx gate with parameter "theta".
You must implement this using a function named `create_parametrized_gate` with no arguments.

You must define a function named `create_parametrized_gate` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


circuit = create_parametrized_gate()
assert circuit.num_qubits == 1
assert circuit.data[0].operation.name == "rx"
assert circuit.data[0].operation.params[0].name == "theta"

Prompt:
Using Qiskit v2.0, Generate a 1 qubit QuantumCircuit with a parametrized Rx gate with parameter "theta".
You must implement this using a function named `create_parametrized_gate` with no arguments.

You must define a function named `create_parametrized_gate` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


circuit = rx_gate()
assert circuit.num_qubits == 1
assert circuit.data[0].operation.name == "rx"
assigned = rx_gate(value=1.0)
assert assigned.num_qubits == 1
assert assigned.num_parameters == 0

Prompt:
Using Qiskit v0.43, Return a 1-qubit QuantumCircuit with a parametrized Rx gate and parameter "theta". If value is not None, return the circuit with value assigned to theta.
You must implement this using a function named `rx_gate` with the following arguments: value.

You must define a function named `rx_gate` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


circuit = rx_gate()
assert circuit.num_qubits == 1
assert circuit.data[0].operation.name == "rx"
assigned = rx_gate(value=1.0)
assert assigned.num_qubits == 1
assert assigned.num_parameters == 0

Prompt:
Using Qiskit v1.3, Return a 1-qubit QuantumCircuit with a parametrized Rx gate and parameter "theta". If value is not None, return the circuit with value assigned to theta.
You must implement this using a function named `rx_gate` with the following arguments: value.

You must define a function named `rx_gate` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


circuit = rx_gate()
assert circuit.num_qubits == 1
assert circuit.data[0].operation.name == "rx"
assigned = rx_gate(value=1.0)
assert assigned.num_qubits == 1
assert assigned.num_parameters == 0

Prompt:
Using Qiskit v2.0, Return a 1-qubit QuantumCircuit with a parametrized Rx gate and parameter "theta". If value is not None, return the circuit with value assigned to theta.
You must implement this using a function named `rx_gate` with the following arguments: value.

You must define a function named `rx_gate` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result = create_operator()
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 2
for inst in result.data:
    if inst.operation.num_qubits > 1:
        assert inst.operation.name in ["cx", "barrier"]

Prompt:
Using Qiskit v0.43, Create a Qiskit circuit with the following unitary [[0, 0, 0, 1], [0, 0, 1, 0], [0, 1, 0, 0], [1, 0, 0, 0]], consisting of only single-qubit gates and CX gates, then transpile the circuit using pass manager with optimization level as 1.
You must implement this using a function named `create_operator` with no arguments.

You must define a function named `create_operator` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result = create_operator()
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 2
for inst in result.data:
    if inst.operation.num_qubits > 1:
        assert inst.operation.name in ["cx", "barrier"]

Prompt:
Using Qiskit v1.3, Create a Qiskit circuit with the following unitary [[0, 0, 0, 1], [0, 0, 1, 0], [0, 1, 0, 0], [1, 0, 0, 0]], consisting of only single-qubit gates and CX gates, then transpile the circuit using pass manager with optimization level as 1.
You must implement this using a function named `create_operator` with no arguments.

You must define a function named `create_operator` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result = create_operator()
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 2
for inst in result.data:
    if inst.operation.num_qubits > 1:
        assert inst.operation.name in ["cx", "barrier"]

Prompt:
Using Qiskit v2.0, Create a Qiskit circuit with the following unitary [[0, 0, 0, 1], [0, 0, 1, 0], [0, 1, 0, 0], [1, 0, 0, 0]], consisting of only single-qubit gates and CX gates, then transpile the circuit using pass manager with optimization level as 1.
You must implement this using a function named `create_operator` with no arguments.

You must define a function named `create_operator` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from math import pi
from qiskit import QuantumCircuit
result = create_quantum_circuit_based_h0_crz01_h1_cry10(pi / 2)
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 2
assert len(result.data) >= 4

Prompt:
Using Qiskit v0.43, Build a 2-qubit Quantum Circuit composed by H gate in Quantum register 0, Controlled-RZ gate in quantum register 0 1 with given input theta value, H gate in quantum register 1 and Controlled-RY gate in quantum register 1 0 with given input theta value.
You must implement this using a function named `create_quantum_circuit_based_h0_crz01_h1_cry10` with the following arguments: theta.

You must define a function named `create_quantum_circuit_based_h0_crz01_h1_cry10` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from math import pi
from qiskit import QuantumCircuit
result = create_quantum_circuit_based_h0_crz01_h1_cry10(pi / 2)
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 2
assert len(result.data) >= 4

Prompt:
Using Qiskit v1.3, Build a 2-qubit Quantum Circuit composed by H gate in Quantum register 0, Controlled-RZ gate in quantum register 0 1 with given input theta value, H gate in quantum register 1 and Controlled-RY gate in quantum register 1 0 with given input theta value.
You must implement this using a function named `create_quantum_circuit_based_h0_crz01_h1_cry10` with the following arguments: theta.

You must define a function named `create_quantum_circuit_based_h0_crz01_h1_cry10` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from math import pi
from qiskit import QuantumCircuit
result = create_quantum_circuit_based_h0_crz01_h1_cry10(pi / 2)
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 2
assert len(result.data) >= 4

Prompt:
Using Qiskit v2.0, Build a 2-qubit Quantum Circuit composed by H gate in Quantum register 0, Controlled-RZ gate in quantum register 0 1 with given input theta value, H gate in quantum register 1 and Controlled-RY gate in quantum register 1 0 with given input theta value.
You must implement this using a function named `create_quantum_circuit_based_h0_crz01_h1_cry10` with the following arguments: theta.

You must define a function named `create_quantum_circuit_based_h0_crz01_h1_cry10` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result = tensor_circuits()
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 3
assert len(result.data) > 0

Prompt:
Using Qiskit v0.43, Write an example using Qiskit that performs tensor operation on a 1-qubit quantum circuit with an X gate and a 2-qubit quantum circuit with a CRY gate, where the CRY gate has an angle of 0.2 radians and is controlled by qubit 0.
You must implement this using a function named `tensor_circuits` with no arguments.

You must define a function named `tensor_circuits` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result = tensor_circuits()
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 3
assert len(result.data) > 0

Prompt:
Using Qiskit v1.3, Write an example using Qiskit that performs tensor operation on a 1-qubit quantum circuit with an X gate and a 2-qubit quantum circuit with a CRY gate, where the CRY gate has an angle of 0.2 radians and is controlled by qubit 0.
You must implement this using a function named `tensor_circuits` with no arguments.

You must define a function named `tensor_circuits` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result = tensor_circuits()
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 3
assert len(result.data) > 0

Prompt:
Using Qiskit v2.0, Write an example using Qiskit that performs tensor operation on a 1-qubit quantum circuit with an X gate and a 2-qubit quantum circuit with a CRY gate, where the CRY gate has an angle of 0.2 radians and is controlled by qubit 0.
You must implement this using a function named `tensor_circuits` with no arguments.

You must define a function named `tensor_circuits` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


result = run_bell_state_simulator()
assert isinstance(result, dict)
assert len(result) > 0
assert set(result.keys()).issubset({"00", "11"})

Prompt:
Using Qiskit v0.43, Define a phi plus bell state using Qiskit, transpile the circuit using pass manager with optimization level as 1, run it using Qiskit Sampler with the Aer simulator as backend and return the counts dictionary.
You must implement this using a function named `run_bell_state_simulator` with no arguments.

You must define a function named `run_bell_state_simulator` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


result = run_bell_state_simulator()
assert isinstance(result, dict)
assert len(result) > 0
assert set(result.keys()).issubset({"00", "11"})

Prompt:
Using Qiskit v1.3, Define a phi plus bell state using Qiskit, transpile the circuit using pass manager with optimization level as 1, run it using Qiskit Sampler with the Aer simulator as backend and return the counts dictionary.
You must implement this using a function named `run_bell_state_simulator` with no arguments.

You must define a function named `run_bell_state_simulator` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


result = run_bell_state_simulator()
assert isinstance(result, dict)
assert len(result) > 0
assert set(result.keys()).issubset({"00", "11"})

Prompt:
Using Qiskit v2.0, Define a phi plus bell state using Qiskit, transpile the circuit using pass manager with optimization level as 1, run it using Qiskit Sampler with the Aer simulator as backend and return the counts dictionary.
You must implement this using a function named `run_bell_state_simulator` with no arguments.

You must define a function named `run_bell_state_simulator` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


result = bell_each_shot()
assert isinstance(result, list)
assert len(result) > 0
assert all(isinstance(x, str) for x in result)

Prompt:
Using Qiskit v0.43, Run a phi plus Bell circuit using Qiskit Sampler with the Aer simulator as backend for 100 shots and return measurement results for each shots. To do so, transpile the circuit using a pass manager with optimization level as 1.
You must implement this using a function named `bell_each_shot` with no arguments.

You must define a function named `bell_each_shot` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


result = bell_each_shot()
assert isinstance(result, list)
assert len(result) > 0
assert all(isinstance(x, str) for x in result)

Prompt:
Using Qiskit v1.3, Run a phi plus Bell circuit using Qiskit Sampler with the Aer simulator as backend for 100 shots and return measurement results for each shots. To do so, transpile the circuit using a pass manager with optimization level as 1.
You must implement this using a function named `bell_each_shot` with no arguments.

You must define a function named `bell_each_shot` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


result = bell_each_shot()
assert isinstance(result, list)
assert len(result) > 0
assert all(isinstance(x, str) for x in result)

Prompt:
Using Qiskit v2.0, Run a phi plus Bell circuit using Qiskit Sampler with the Aer simulator as backend for 100 shots and return measurement results for each shots. To do so, transpile the circuit using a pass manager with optimization level as 1.
You must implement this using a function named `bell_each_shot` with no arguments.

You must define a function named `bell_each_shot` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


result = sampler_qiskit()
assert isinstance(result, dict)
assert len(result) > 0
assert set(result.keys()).issubset({"00", "11"})

Prompt:
Using Qiskit v0.43, Run a Bell circuit on Qiskit Sampler and run the circuit on the Aer simulator with the seed set as 42. Return the resulting counts dictionary.
You must implement this using a function named `sampler_qiskit` with no arguments.

You must define a function named `sampler_qiskit` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


result = sampler_qiskit()
assert isinstance(result, dict)
assert len(result) > 0
assert set(result.keys()).issubset({"00", "11"})

Prompt:
Using Qiskit v1.3, Run a Bell circuit on Qiskit Sampler and run the circuit on the Aer simulator with the seed set as 42. Return the resulting counts dictionary.
You must implement this using a function named `sampler_qiskit` with no arguments.

You must define a function named `sampler_qiskit` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


result = sampler_qiskit()
assert isinstance(result, dict)
assert len(result) > 0
assert set(result.keys()).issubset({"00", "11"})

Prompt:
Using Qiskit v2.0, Run a Bell circuit on Qiskit Sampler and run the circuit on the Aer simulator with the seed set as 42. Return the resulting counts dictionary.
You must implement this using a function named `sampler_qiskit` with no arguments.

You must define a function named `sampler_qiskit` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


result = run_multiple_sampler()
assert isinstance(result, list)
assert len(result) == 2
for counts in result:
    assert isinstance(counts, dict)
    assert len(counts) > 0

Prompt:
Using Qiskit v0.43, Generate two random quantum circuits, each with 2 qubits and a depth of 2, using seed values of 0 and 1 respectively. Run the circuits using the Sampler on the Aer simulator with the seed set as 42 and return the counts for both circuits.
You must implement this using a function named `run_multiple_sampler` with no arguments.

You must define a function named `run_multiple_sampler` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


result = run_multiple_sampler()
assert isinstance(result, list)
assert len(result) == 2
for counts in result:
    assert isinstance(counts, dict)
    assert len(counts) > 0

Prompt:
Using Qiskit v1.3, Generate two random quantum circuits, each with 2 qubits and a depth of 2, using seed values of 0 and 1 respectively. Run the circuits using the Sampler on the Aer simulator with the seed set as 42 and return the counts for both circuits.
You must implement this using a function named `run_multiple_sampler` with no arguments.

You must define a function named `run_multiple_sampler` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


result = run_multiple_sampler()
assert isinstance(result, list)
assert len(result) == 2
for counts in result:
    assert isinstance(counts, dict)
    assert len(counts) > 0

Prompt:
Using Qiskit v2.0, Generate two random quantum circuits, each with 2 qubits and a depth of 2, using seed values of 0 and 1 respectively. Run the circuits using the Sampler on the Aer simulator with the seed set as 42 and return the counts for both circuits.
You must implement this using a function named `run_multiple_sampler` with no arguments.

You must define a function named `run_multiple_sampler` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


result = random_number_generator_unsigned_8bit(10)
assert isinstance(result, list)
assert len(result) == 10
for value in result:
    assert isinstance(value, int)
    assert 0 <= value < 256

Prompt:
Using Qiskit v0.43, Write a function that generates n number of random 8-bit unsigned integers using a Quantum Circuit and outputs a list of integers.
You must implement this using a function named `random_number_generator_unsigned_8bit` with the following arguments: n.

You must define a function named `random_number_generator_unsigned_8bit` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


result = random_number_generator_unsigned_8bit(10)
assert isinstance(result, list)
assert len(result) == 10
for value in result:
    assert isinstance(value, int)
    assert 0 <= value < 256

Prompt:
Using Qiskit v1.3, Write a function that generates n number of random 8-bit unsigned integers using a Quantum Circuit and outputs a list of integers.
You must implement this using a function named `random_number_generator_unsigned_8bit` with the following arguments: n.

You must define a function named `random_number_generator_unsigned_8bit` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


result = random_number_generator_unsigned_8bit(10)
assert isinstance(result, list)
assert len(result) == 10
for value in result:
    assert isinstance(value, int)
    assert 0 <= value < 256

Prompt:
Using Qiskit v2.0, Write a function that generates n number of random 8-bit unsigned integers using a Quantum Circuit and outputs a list of integers.
You must implement this using a function named `random_number_generator_unsigned_8bit` with the following arguments: n.

You must define a function named `random_number_generator_unsigned_8bit` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result = dj_constant_oracle()
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 3

Prompt:
Using Qiskit v0.43, Create a constant oracle for use in a Deutsch-Jozsa experiment. The oracle takes two input bits (qubits 0 and 1) and writes to one output bit (qubit 2).
You must implement this using a function named `dj_constant_oracle` with no arguments.

You must define a function named `dj_constant_oracle` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result = dj_constant_oracle()
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 3

Prompt:
Using Qiskit v1.3, Create a constant oracle for use in a Deutsch-Jozsa experiment. The oracle takes two input bits (qubits 0 and 1) and writes to one output bit (qubit 2).
You must implement this using a function named `dj_constant_oracle` with no arguments.

You must define a function named `dj_constant_oracle` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result = dj_constant_oracle()
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 3

Prompt:
Using Qiskit v2.0, Create a constant oracle for use in a Deutsch-Jozsa experiment. The oracle takes two input bits (qubits 0 and 1) and writes to one output bit (qubit 2).
You must implement this using a function named `dj_constant_oracle` with no arguments.

You must define a function named `dj_constant_oracle` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
balanced = QuantumCircuit(5)
balanced.cx(3, 4)
constant = QuantumCircuit(9)
constant.x(8)
result_balanced = dj_algorithm(balanced)
result_constant = dj_algorithm(constant)
assert isinstance(result_balanced, bool)
assert isinstance(result_constant, bool)

Prompt:
Using Qiskit v0.43, Given a Deutsch-Jozsa oracle in which the final qubit is the "output" qubit, return True if the oracle is constant or False otherwise.
You must implement this using a function named `dj_algorithm` with the following arguments: oracle.

You must define a function named `dj_algorithm` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
balanced = QuantumCircuit(5)
balanced.cx(3, 4)
constant = QuantumCircuit(9)
constant.x(8)
result_balanced = dj_algorithm(balanced)
result_constant = dj_algorithm(constant)
assert isinstance(result_balanced, bool)
assert isinstance(result_constant, bool)

Prompt:
Using Qiskit v1.3, Given a Deutsch-Jozsa oracle in which the final qubit is the "output" qubit, return True if the oracle is constant or False otherwise.
You must implement this using a function named `dj_algorithm` with the following arguments: oracle.

You must define a function named `dj_algorithm` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
balanced = QuantumCircuit(5)
balanced.cx(3, 4)
constant = QuantumCircuit(9)
constant.x(8)
result_balanced = dj_algorithm(balanced)
result_constant = dj_algorithm(constant)
assert isinstance(result_balanced, bool)
assert isinstance(result_constant, bool)

Prompt:
Using Qiskit v2.0, Given a Deutsch-Jozsa oracle in which the final qubit is the "output" qubit, return True if the oracle is constant or False otherwise.
You must implement this using a function named `dj_algorithm` with the following arguments: oracle.

You must define a function named `dj_algorithm` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result = bv_function("1111")
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 5
assert result.count_ops().get("cx", 0) > 0

Prompt:
Using Qiskit v0.43, Write a function to design a Bernstein-Vazirani oracle from a bitstring and return it.
You must implement this using a function named `bv_function` with the following arguments: s.

You must define a function named `bv_function` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result = bv_function("1111")
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 5
assert result.count_ops().get("cx", 0) > 0

Prompt:
Using Qiskit v1.3, Write a function to design a Bernstein-Vazirani oracle from a bitstring and return it.
You must implement this using a function named `bv_function` with the following arguments: s.

You must define a function named `bv_function` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result = bv_function("1111")
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 5
assert result.count_ops().get("cx", 0) > 0

Prompt:
Using Qiskit v2.0, Write a function to design a Bernstein-Vazirani oracle from a bitstring and return it.
You must implement this using a function named `bv_function` with the following arguments: s.

You must define a function named `bv_function` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


result = bv_algorithm("1111")
assert isinstance(result, (list, tuple))
assert len(result) == 2
assert isinstance(result[0], list)
assert result[1] is not None

Prompt:
Using Qiskit v0.43, Illustrate a Bernstein-Vazirani algorithm routine on Qiskit and run it using Qiskit Sampler with Aer simulator as backend for a string of 0s and 1s. Return the bit strings of the result and the result itself.
You must implement this using a function named `bv_algorithm` with the following arguments: s.

You must define a function named `bv_algorithm` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


result = bv_algorithm("1111")
assert isinstance(result, (list, tuple))
assert len(result) == 2
assert isinstance(result[0], list)
assert result[1] is not None

Prompt:
Using Qiskit v1.3, Illustrate a Bernstein-Vazirani algorithm routine on Qiskit and run it using Qiskit Sampler with Aer simulator as backend for a string of 0s and 1s. Return the bit strings of the result and the result itself.
You must implement this using a function named `bv_algorithm` with the following arguments: s.

You must define a function named `bv_algorithm` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


result = bv_algorithm("1111")
assert isinstance(result, (list, tuple))
assert len(result) == 2
assert isinstance(result[0], list)
assert result[1] is not None

Prompt:
Using Qiskit v2.0, Illustrate a Bernstein-Vazirani algorithm routine on Qiskit and run it using Qiskit Sampler with Aer simulator as backend for a string of 0s and 1s. Return the bit strings of the result and the result itself.
You must implement this using a function named `bv_algorithm` with the following arguments: s.

You must define a function named `bv_algorithm` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result_1 = send_bits("10")
assert isinstance(result_1, QuantumCircuit)
assert result_1.num_qubits == 2
result_2 = send_bits("01")
assert isinstance(result_2, QuantumCircuit)
assert result_2.num_qubits == 2

Prompt:
Using Qiskit v0.43, Provide a quantum circuit that enables the transmission of two classical bits from the sender to the receiver through a single qubit of quantum communication, given that the sender and receiver have access to entangled qubits.
You must implement this using a function named `send_bits` with the following arguments: bitstring.

You must define a function named `send_bits` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result_1 = send_bits("10")
assert isinstance(result_1, QuantumCircuit)
assert result_1.num_qubits == 2
result_2 = send_bits("01")
assert isinstance(result_2, QuantumCircuit)
assert result_2.num_qubits == 2

Prompt:
Using Qiskit v1.3, Provide a quantum circuit that enables the transmission of two classical bits from the sender to the receiver through a single qubit of quantum communication, given that the sender and receiver have access to entangled qubits.
You must implement this using a function named `send_bits` with the following arguments: bitstring.

You must define a function named `send_bits` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result_1 = send_bits("10")
assert isinstance(result_1, QuantumCircuit)
assert result_1.num_qubits == 2
result_2 = send_bits("01")
assert isinstance(result_2, QuantumCircuit)
assert result_2.num_qubits == 2

Prompt:
Using Qiskit v2.0, Provide a quantum circuit that enables the transmission of two classical bits from the sender to the receiver through a single qubit of quantum communication, given that the sender and receiver have access to entangled qubits.
You must implement this using a function named `send_bits` with the following arguments: bitstring.

You must define a function named `send_bits` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from numpy.random import randint, seed
from qiskit import QuantumCircuit
seed(12345)
qubits = 5
state = randint(2, size=qubits)
basis = randint(2, size=qubits)
result = bb84_senders_circuit(state, basis)
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == qubits

Prompt:
Using Qiskit v0.43, Construct a BB84 protocol circuit for the sender, inputting both the states and the measured bases.
You must implement this using a function named `bb84_senders_circuit` with the following arguments: state, basis.

You must define a function named `bb84_senders_circuit` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from numpy.random import randint, seed
from qiskit import QuantumCircuit
seed(12345)
qubits = 5
state = randint(2, size=qubits)
basis = randint(2, size=qubits)
result = bb84_senders_circuit(state, basis)
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == qubits

Prompt:
Using Qiskit v1.3, Construct a BB84 protocol circuit for the sender, inputting both the states and the measured bases.
You must implement this using a function named `bb84_senders_circuit` with the following arguments: state, basis.

You must define a function named `bb84_senders_circuit` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from numpy.random import randint, seed
from qiskit import QuantumCircuit
seed(12345)
qubits = 5
state = randint(2, size=qubits)
basis = randint(2, size=qubits)
result = bb84_senders_circuit(state, basis)
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == qubits

Prompt:
Using Qiskit v2.0, Construct a BB84 protocol circuit for the sender, inputting both the states and the measured bases.
You must implement this using a function named `bb84_senders_circuit` with the following arguments: state, basis.

You must define a function named `bb84_senders_circuit` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
basis = [1, 0, 0, 1, 1]
circuit = QuantumCircuit(5)
circuit.x([3, 4])
circuit.h([0, 3, 4])
result = bb84_circuit_generate_key(basis, circuit)
assert isinstance(result, str)
assert set(result).issubset({"0", "1"})

Prompt:
Using Qiskit v0.43, Write a function to generate the key from the circuit and the sender's basis generated by the sender using BB84 protocol.
You must implement this using a function named `bb84_circuit_generate_key` with the following arguments: senders_basis, circuit.

You must define a function named `bb84_circuit_generate_key` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
basis = [1, 0, 0, 1, 1]
circuit = QuantumCircuit(5)
circuit.x([3, 4])
circuit.h([0, 3, 4])
result = bb84_circuit_generate_key(basis, circuit)
assert isinstance(result, str)
assert set(result).issubset({"0", "1"})

Prompt:
Using Qiskit v1.3, Write a function to generate the key from the circuit and the sender's basis generated by the sender using BB84 protocol.
You must implement this using a function named `bb84_circuit_generate_key` with the following arguments: senders_basis, circuit.

You must define a function named `bb84_circuit_generate_key` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
basis = [1, 0, 0, 1, 1]
circuit = QuantumCircuit(5)
circuit.x([3, 4])
circuit.h([0, 3, 4])
result = bb84_circuit_generate_key(basis, circuit)
assert isinstance(result, str)
assert set(result).issubset({"0", "1"})

Prompt:
Using Qiskit v2.0, Write a function to generate the key from the circuit and the sender's basis generated by the sender using BB84 protocol.
You must implement this using a function named `bb84_circuit_generate_key` with the following arguments: senders_basis, circuit.

You must define a function named `bb84_circuit_generate_key` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result = simons_algorithm("1010")
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 8
assert result.num_clbits >= 4

Prompt:
Using Qiskit v0.43, Write a function that takes the bitstring 's' as the input and builds a Quantum Circuit such that the output when xor-ed with the input 's' is same as the 's'. When building the quantum circuit make sure the classical registers is named 'c'.
You must implement this using a function named `simons_algorithm` with the following arguments: s.

You must define a function named `simons_algorithm` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result = simons_algorithm("1010")
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 8
assert result.num_clbits >= 4

Prompt:
Using Qiskit v1.3, Write a function that takes the bitstring 's' as the input and builds a Quantum Circuit such that the output when xor-ed with the input 's' is same as the 's'. When building the quantum circuit make sure the classical registers is named 'c'.
You must implement this using a function named `simons_algorithm` with the following arguments: s.

You must define a function named `simons_algorithm` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result = simons_algorithm("1010")
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 8
assert result.num_clbits >= 4

Prompt:
Using Qiskit v2.0, Write a function that takes the bitstring 's' as the input and builds a Quantum Circuit such that the output when xor-ed with the input 's' is same as the 's'. When building the quantum circuit make sure the classical registers is named 'c'.
You must implement this using a function named `simons_algorithm` with the following arguments: s.

You must define a function named `simons_algorithm` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.dagcircuit import DAGCircuit
result = bell_dag()
assert isinstance(result, DAGCircuit)
assert result.num_qubits() == 3
ops = dict(result.count_ops())
assert "h" in ops
assert "cx" in ops

Prompt:
Using Qiskit v0.43, Construct a DAG circuit for a 3-qubit Quantum Circuit with the bell state applied on qubit 0 and 1. Finally return the DAG Circuit object.
You must implement this using a function named `bell_dag` with no arguments.

You must define a function named `bell_dag` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.dagcircuit import DAGCircuit
result = bell_dag()
assert isinstance(result, DAGCircuit)
assert result.num_qubits() == 3
ops = dict(result.count_ops())
assert "h" in ops
assert "cx" in ops

Prompt:
Using Qiskit v1.3, Construct a DAG circuit for a 3-qubit Quantum Circuit with the bell state applied on qubit 0 and 1. Finally return the DAG Circuit object.
You must implement this using a function named `bell_dag` with no arguments.

You must define a function named `bell_dag` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.dagcircuit import DAGCircuit
result = bell_dag()
assert isinstance(result, DAGCircuit)
assert result.num_qubits() == 3
ops = dict(result.count_ops())
assert "h" in ops
assert "cx" in ops

Prompt:
Using Qiskit v2.0, Construct a DAG circuit for a 3-qubit Quantum Circuit with the bell state applied on qubit 0 and 1. Finally return the DAG Circuit object.
You must implement this using a function named `bell_dag` with no arguments.

You must define a function named `bell_dag` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.dagcircuit import DAGCircuit
result = apply_op_back()
assert isinstance(result, DAGCircuit)
assert result.num_qubits() == 3
assert result.depth() >= 2

Prompt:
Using Qiskit v0.43, Generate a DAG circuit for 3-qubit Quantum Circuit which consists of H gate on qubit 0 and CX gate on qubit 0 and 1. After converting the circuit to DAG, apply a Hadamard operation to the back of qubit 0 and return the DAGCircuit.
You must implement this using a function named `apply_op_back` with no arguments.

You must define a function named `apply_op_back` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.dagcircuit import DAGCircuit
result = apply_op_back()
assert isinstance(result, DAGCircuit)
assert result.num_qubits() == 3
assert result.depth() >= 2

Prompt:
Using Qiskit v1.3, Generate a DAG circuit for 3-qubit Quantum Circuit which consists of H gate on qubit 0 and CX gate on qubit 0 and 1. After converting the circuit to DAG, apply a Hadamard operation to the back of qubit 0 and return the DAGCircuit.
You must implement this using a function named `apply_op_back` with no arguments.

You must define a function named `apply_op_back` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.dagcircuit import DAGCircuit
result = apply_op_back()
assert isinstance(result, DAGCircuit)
assert result.num_qubits() == 3
assert result.depth() >= 2

Prompt:
Using Qiskit v2.0, Generate a DAG circuit for 3-qubit Quantum Circuit which consists of H gate on qubit 0 and CX gate on qubit 0 and 1. After converting the circuit to DAG, apply a Hadamard operation to the back of qubit 0 and return the DAGCircuit.
You must implement this using a function named `apply_op_back` with no arguments.

You must define a function named `apply_op_back` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0, 1)
qc.h(1)
qc.h(0)
result = remove_gate_in_position(qc, 0)
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 2
assert len(result.data) == 3

Prompt:
Using Qiskit v0.43, Remove the gate in the input position for the given Quantum Circuit.
You must implement this using a function named `remove_gate_in_position` with the following arguments: circuit, position.

You must define a function named `remove_gate_in_position` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0, 1)
qc.h(1)
qc.h(0)
result = remove_gate_in_position(qc, 0)
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 2
assert len(result.data) == 3

Prompt:
Using Qiskit v1.3, Remove the gate in the input position for the given Quantum Circuit.
You must implement this using a function named `remove_gate_in_position` with the following arguments: circuit, position.

You must define a function named `remove_gate_in_position` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0, 1)
qc.h(1)
qc.h(0)
result = remove_gate_in_position(qc, 0)
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 2
assert len(result.data) == 3

Prompt:
Using Qiskit v2.0, Remove the gate in the input position for the given Quantum Circuit.
You must implement this using a function named `remove_gate_in_position` with the following arguments: circuit, position.

You must define a function named `remove_gate_in_position` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
qc = QuantumCircuit(3)
qc.x(0)
qc.barrier()
qc.cx(0, 1)
qc.h([0, 1])
qc.z(1)
qc.barrier()
qc.barrier()
qc.tdg(0)
circuits = split_circuit_at_barriers(qc)
assert isinstance(circuits, list)
assert len(circuits) == 4
for circuit in circuits:
    assert isinstance(circuit, QuantumCircuit)
    assert all(inst.operation.name != "barrier" for inst in circuit.data)

Prompt:
Using Qiskit v0.43, Split `circuit` at each barrier operation. Do not include barriers in the output circuits.
You must implement this using a function named `split_circuit_at_barriers` with the following arguments: circuit.

You must define a function named `split_circuit_at_barriers` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
qc = QuantumCircuit(3)
qc.x(0)
qc.barrier()
qc.cx(0, 1)
qc.h([0, 1])
qc.z(1)
qc.barrier()
qc.barrier()
qc.tdg(0)
circuits = split_circuit_at_barriers(qc)
assert isinstance(circuits, list)
assert len(circuits) == 4
for circuit in circuits:
    assert isinstance(circuit, QuantumCircuit)
    assert all(inst.operation.name != "barrier" for inst in circuit.data)

Prompt:
Using Qiskit v1.3, Split `circuit` at each barrier operation. Do not include barriers in the output circuits.
You must implement this using a function named `split_circuit_at_barriers` with the following arguments: circuit.

You must define a function named `split_circuit_at_barriers` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
qc = QuantumCircuit(3)
qc.x(0)
qc.barrier()
qc.cx(0, 1)
qc.h([0, 1])
qc.z(1)
qc.barrier()
qc.barrier()
qc.tdg(0)
circuits = split_circuit_at_barriers(qc)
assert isinstance(circuits, list)
assert len(circuits) == 4
for circuit in circuits:
    assert isinstance(circuit, QuantumCircuit)
    assert all(inst.operation.name != "barrier" for inst in circuit.data)

Prompt:
Using Qiskit v2.0, Split `circuit` at each barrier operation. Do not include barriers in the output circuits.
You must implement this using a function named `split_circuit_at_barriers` with the following arguments: circuit.

You must define a function named `split_circuit_at_barriers` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
circuit = QuantumCircuit(1)
circuit.h(0)
circuit.barrier()
circuit.x(0)
candidate_circuit = remove_barrier(circuit)
assert isinstance(candidate_circuit, QuantumCircuit)
for inst in candidate_circuit.data:
    assert inst.operation.name != "barrier"

Prompt:
Using Qiskit v0.43, For a given Quantum Circuit remove all the barriers from it and return.
You must implement this using a function named `remove_barrier` with the following arguments: circuit.

You must define a function named `remove_barrier` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
circuit = QuantumCircuit(1)
circuit.h(0)
circuit.barrier()
circuit.x(0)
candidate_circuit = remove_barrier(circuit)
assert isinstance(candidate_circuit, QuantumCircuit)
for inst in candidate_circuit.data:
    assert inst.operation.name != "barrier"

Prompt:
Using Qiskit v1.3, For a given Quantum Circuit remove all the barriers from it and return.
You must implement this using a function named `remove_barrier` with the following arguments: circuit.

You must define a function named `remove_barrier` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
circuit = QuantumCircuit(1)
circuit.h(0)
circuit.barrier()
circuit.x(0)
candidate_circuit = remove_barrier(circuit)
assert isinstance(candidate_circuit, QuantumCircuit)
for inst in candidate_circuit.data:
    assert inst.operation.name != "barrier"

Prompt:
Using Qiskit v2.0, For a given Quantum Circuit remove all the barriers from it and return.
You must implement this using a function named `remove_barrier` with the following arguments: circuit.

You must define a function named `remove_barrier` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
import numpy as np
trial_circuit = QuantumCircuit(2)
trial_circuit.h(0)
trial_circuit.u(0.3, 0.1, 0.1, 1)
trial_circuit.cp(np.pi / 4, 0, 1)
trial_circuit.h(0)
output = unroll_circuit(trial_circuit)
assert isinstance(output, QuantumCircuit)
for inst in output.data:
    assert inst.operation.name in ["cx", "id", "rz", "sx", "x", "u"]

Prompt:
Using Qiskit v0.43, Unroll circuit for the gateset: CX, ID, RZ, SX, X, U.
You must implement this using a function named `unroll_circuit` with the following arguments: circuit.

You must define a function named `unroll_circuit` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
import numpy as np
trial_circuit = QuantumCircuit(2)
trial_circuit.h(0)
trial_circuit.u(0.3, 0.1, 0.1, 1)
trial_circuit.cp(np.pi / 4, 0, 1)
trial_circuit.h(0)
output = unroll_circuit(trial_circuit)
assert isinstance(output, QuantumCircuit)
for inst in output.data:
    assert inst.operation.name in ["cx", "id", "rz", "sx", "x", "u"]

Prompt:
Using Qiskit v1.3, Unroll circuit for the gateset: CX, ID, RZ, SX, X, U.
You must implement this using a function named `unroll_circuit` with the following arguments: circuit.

You must define a function named `unroll_circuit` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
import numpy as np
trial_circuit = QuantumCircuit(2)
trial_circuit.h(0)
trial_circuit.u(0.3, 0.1, 0.1, 1)
trial_circuit.cp(np.pi / 4, 0, 1)
trial_circuit.h(0)
output = unroll_circuit(trial_circuit)
assert isinstance(output, QuantumCircuit)
for inst in output.data:
    assert inst.operation.name in ["cx", "id", "rz", "sx", "x", "u"]

Prompt:
Using Qiskit v2.0, Unroll circuit for the gateset: CX, ID, RZ, SX, X, U.
You must implement this using a function named `unroll_circuit` with the following arguments: circuit.

You must define a function named `unroll_circuit` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
from qiskit.transpiler import CouplingMap
coupling = CouplingMap([[0, 1], [1, 2], [2, 3], [3, 4], [4, 5], [5, 6]])
result = passmanager_Lookahead(coupling)
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 7

Prompt:
Using Qiskit v0.43, Transpile a 7-qubit GHZ circuit using LookaheadSwap pass and the input custom coupling map.
You must implement this using a function named `passmanager_Lookahead` with the following arguments: coupling.

You must define a function named `passmanager_Lookahead` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
from qiskit.transpiler import CouplingMap
coupling = CouplingMap([[0, 1], [1, 2], [2, 3], [3, 4], [4, 5], [5, 6]])
result = passmanager_Lookahead(coupling)
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 7

Prompt:
Using Qiskit v1.3, Transpile a 7-qubit GHZ circuit using LookaheadSwap pass and the input custom coupling map.
You must implement this using a function named `passmanager_Lookahead` with the following arguments: coupling.

You must define a function named `passmanager_Lookahead` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
from qiskit.transpiler import CouplingMap
coupling = CouplingMap([[0, 1], [1, 2], [2, 3], [3, 4], [4, 5], [5, 6]])
result = passmanager_Lookahead(coupling)
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 7

Prompt:
Using Qiskit v2.0, Transpile a 7-qubit GHZ circuit using LookaheadSwap pass and the input custom coupling map.
You must implement this using a function named `passmanager_Lookahead` with the following arguments: coupling.

You must define a function named `passmanager_Lookahead` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.transpiler.basepasses import TransformationPass
hxh_pass = create_hxh_pass()
if isinstance(hxh_pass, type):
    assert issubclass(hxh_pass, TransformationPass)
else:
    assert isinstance(hxh_pass, TransformationPass)

Prompt:
Using Qiskit v0.43, Return a transpiler pass that replaces all non-controlled Z-gates with H-X-H-gate sequences.
You must implement this using a function named `create_hxh_pass` with no arguments.

You must define a function named `create_hxh_pass` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.transpiler.basepasses import TransformationPass
hxh_pass = create_hxh_pass()
if isinstance(hxh_pass, type):
    assert issubclass(hxh_pass, TransformationPass)
else:
    assert isinstance(hxh_pass, TransformationPass)

Prompt:
Using Qiskit v1.3, Return a transpiler pass that replaces all non-controlled Z-gates with H-X-H-gate sequences.
You must implement this using a function named `create_hxh_pass` with no arguments.

You must define a function named `create_hxh_pass` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.transpiler.basepasses import TransformationPass
hxh_pass = create_hxh_pass()
if isinstance(hxh_pass, type):
    assert issubclass(hxh_pass, TransformationPass)
else:
    assert isinstance(hxh_pass, TransformationPass)

Prompt:
Using Qiskit v2.0, Return a transpiler pass that replaces all non-controlled Z-gates with H-X-H-gate sequences.
You must implement this using a function named `create_hxh_pass` with no arguments.

You must define a function named `create_hxh_pass` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
full, limited = collect_linear_blocks_with_and_without_limit()
assert isinstance(full, QuantumCircuit)
assert isinstance(limited, QuantumCircuit)
assert full.num_qubits == 5
assert limited.num_qubits == 5

Prompt:
Using Qiskit v0.43, Create a 5-qubit quantum circuit with a chain of CX gates and apply Qiskit's CollectLinearFunctions transpiler pass. Return two circuits:
1. One with no block width restriction.
2. One with a max_block_width of 3.
Use PassManager to apply the pass and return both circuits.
You must implement this using a function named `collect_linear_blocks_with_and_without_limit` with no arguments.

You must define a function named `collect_linear_blocks_with_and_without_limit` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
full, limited = collect_linear_blocks_with_and_without_limit()
assert isinstance(full, QuantumCircuit)
assert isinstance(limited, QuantumCircuit)
assert full.num_qubits == 5
assert limited.num_qubits == 5

Prompt:
Using Qiskit v1.3, Create a 5-qubit quantum circuit with a chain of CX gates and apply Qiskit's CollectLinearFunctions transpiler pass. Return two circuits:
1. One with no block width restriction.
2. One with a max_block_width of 3.
Use PassManager to apply the pass and return both circuits.
You must implement this using a function named `collect_linear_blocks_with_and_without_limit` with no arguments.

You must define a function named `collect_linear_blocks_with_and_without_limit` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
full, limited = collect_linear_blocks_with_and_without_limit()
assert isinstance(full, QuantumCircuit)
assert isinstance(limited, QuantumCircuit)
assert full.num_qubits == 5
assert limited.num_qubits == 5

Prompt:
Using Qiskit v2.0, Create a 5-qubit quantum circuit with a chain of CX gates and apply Qiskit's CollectLinearFunctions transpiler pass. Return two circuits:
1. One with no block width restriction.
2. One with a max_block_width of 3.
Use PassManager to apply the pass and return both circuits.
You must implement this using a function named `collect_linear_blocks_with_and_without_limit` with no arguments.

You must define a function named `collect_linear_blocks_with_and_without_limit` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
import numpy as np
circ = QuantumCircuit(3)
circ.h(0)
circ.rx(np.pi / 7, 1)
circ.ry(np.pi / 5, 2)
circ.cx(0, 1)
circ.rz(np.pi / 3, 1)
circ.s(2)
circ.t(0)
circ_can = sol_kit_decomp(circ)
assert isinstance(circ_can, QuantumCircuit)
assert circ_can.num_qubits == circ.num_qubits

Prompt:
Using Qiskit v0.43, Create a pass manager to decompose the single qubit gates into gates of the dense subset ['t', 'tdg', 'h'] in the given circuit.
You must implement this using a function named `sol_kit_decomp` with the following arguments: circuit.

You must define a function named `sol_kit_decomp` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
import numpy as np
circ = QuantumCircuit(3)
circ.h(0)
circ.rx(np.pi / 7, 1)
circ.ry(np.pi / 5, 2)
circ.cx(0, 1)
circ.rz(np.pi / 3, 1)
circ.s(2)
circ.t(0)
circ_can = sol_kit_decomp(circ)
assert isinstance(circ_can, QuantumCircuit)
assert circ_can.num_qubits == circ.num_qubits

Prompt:
Using Qiskit v1.3, Create a pass manager to decompose the single qubit gates into gates of the dense subset ['t', 'tdg', 'h'] in the given circuit.
You must implement this using a function named `sol_kit_decomp` with the following arguments: circuit.

You must define a function named `sol_kit_decomp` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
import numpy as np
circ = QuantumCircuit(3)
circ.h(0)
circ.rx(np.pi / 7, 1)
circ.ry(np.pi / 5, 2)
circ.cx(0, 1)
circ.rz(np.pi / 3, 1)
circ.s(2)
circ.t(0)
circ_can = sol_kit_decomp(circ)
assert isinstance(circ_can, QuantumCircuit)
assert circ_can.num_qubits == circ.num_qubits

Prompt:
Using Qiskit v2.0, Create a pass manager to decompose the single qubit gates into gates of the dense subset ['t', 'tdg', 'h'] in the given circuit.
You must implement this using a function named `sol_kit_decomp` with the following arguments: circuit.

You must define a function named `sol_kit_decomp` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
qc = QuantumCircuit(3)
qc.h(0)
qc.barrier()
qc.cx(0, 1)
qc.barrier()
qc.cx(1, 2)
qc.measure_all()
property_set = calculate_depth_after_barrier_removal(qc)
assert "depth_before" in property_set
assert "depth_after" in property_set

Prompt:
Using Qiskit v0.43, Remove barriers from the given quantum circuit and calculate the depth before and after removal.
Return a PropertySet with 'depth_before', 'depth_after', and 'width' properties.
The function should only remove barriers and not perform any other optimizations.
You must implement this using a function named `calculate_depth_after_barrier_removal` with the following arguments: qc.

You must define a function named `calculate_depth_after_barrier_removal` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
qc = QuantumCircuit(3)
qc.h(0)
qc.barrier()
qc.cx(0, 1)
qc.barrier()
qc.cx(1, 2)
qc.measure_all()
property_set = calculate_depth_after_barrier_removal(qc)
assert "depth_before" in property_set
assert "depth_after" in property_set

Prompt:
Using Qiskit v1.3, Remove barriers from the given quantum circuit and calculate the depth before and after removal.
Return a PropertySet with 'depth_before', 'depth_after', and 'width' properties.
The function should only remove barriers and not perform any other optimizations.
You must implement this using a function named `calculate_depth_after_barrier_removal` with the following arguments: qc.

You must define a function named `calculate_depth_after_barrier_removal` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
qc = QuantumCircuit(3)
qc.h(0)
qc.barrier()
qc.cx(0, 1)
qc.barrier()
qc.cx(1, 2)
qc.measure_all()
property_set = calculate_depth_after_barrier_removal(qc)
assert "depth_before" in property_set
assert "depth_after" in property_set

Prompt:
Using Qiskit v2.0, Remove barriers from the given quantum circuit and calculate the depth before and after removal.
Return a PropertySet with 'depth_before', 'depth_after', and 'width' properties.
The function should only remove barriers and not perform any other optimizations.
You must implement this using a function named `calculate_depth_after_barrier_removal` with the following arguments: qc.

You must define a function named `calculate_depth_after_barrier_removal` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.transpiler import CouplingMap
cmap = create_and_modify_coupling_map()
assert isinstance(cmap, CouplingMap)
assert len(cmap.get_edges()) > 0
assert len(cmap.physical_qubits) >= 7

Prompt:
Using Qiskit v0.43, Create a CouplingMap with a specific coupling list, then modify it by adding an edge and a physical qubit.
The initial coupling list is [[0, 1], [1, 2], [2, 3], [3, 4], [4, 5]].
Add an edge (5, 6), and add a physical qubit "7".
You must implement this using a function named `create_and_modify_coupling_map` with no arguments.

You must define a function named `create_and_modify_coupling_map` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.transpiler import CouplingMap
cmap = create_and_modify_coupling_map()
assert isinstance(cmap, CouplingMap)
assert len(cmap.get_edges()) > 0
assert len(cmap.physical_qubits) >= 7

Prompt:
Using Qiskit v1.3, Create a CouplingMap with a specific coupling list, then modify it by adding an edge and a physical qubit.
The initial coupling list is [[0, 1], [1, 2], [2, 3], [3, 4], [4, 5]].
Add an edge (5, 6), and add a physical qubit "7".
You must implement this using a function named `create_and_modify_coupling_map` with no arguments.

You must define a function named `create_and_modify_coupling_map` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.transpiler import CouplingMap
cmap = create_and_modify_coupling_map()
assert isinstance(cmap, CouplingMap)
assert len(cmap.get_edges()) > 0
assert len(cmap.physical_qubits) >= 7

Prompt:
Using Qiskit v2.0, Create a CouplingMap with a specific coupling list, then modify it by adding an edge and a physical qubit.
The initial coupling list is [[0, 1], [1, 2], [2, 3], [3, 4], [4, 5]].
Add an edge (5, 6), and add a physical qubit "7".
You must implement this using a function named `create_and_modify_coupling_map` with no arguments.

You must define a function named `create_and_modify_coupling_map` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.transpiler import Target
target = create_target()
assert isinstance(target, Target)
assert len(target.instructions) > 0

Prompt:
Using Qiskit v0.43, Create a Target object for a 2-qubit system and add UGate and CXGate instructions with specific properties.
- Add UGate for both qubits (0 and 1) with parameters 'theta', 'phi', and 'lambda'.
- Add CXGate for qubit pairs (0,1) and (1,0).
- All instructions should have nonzero 'duration' and 'error' properties set.
You must implement this using a function named `create_target` with no arguments.

You must define a function named `create_target` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.transpiler import Target
target = create_target()
assert isinstance(target, Target)
assert len(target.instructions) > 0

Prompt:
Using Qiskit v1.3, Create a Target object for a 2-qubit system and add UGate and CXGate instructions with specific properties.
- Add UGate for both qubits (0 and 1) with parameters 'theta', 'phi', and 'lambda'.
- Add CXGate for qubit pairs (0,1) and (1,0).
- All instructions should have nonzero 'duration' and 'error' properties set.
You must implement this using a function named `create_target` with no arguments.

You must define a function named `create_target` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.transpiler import Target
target = create_target()
assert isinstance(target, Target)
assert len(target.instructions) > 0

Prompt:
Using Qiskit v2.0, Create a Target object for a 2-qubit system and add UGate and CXGate instructions with specific properties.
- Add UGate for both qubits (0 and 1) with parameters 'theta', 'phi', and 'lambda'.
- Add CXGate for qubit pairs (0,1) and (1,0).
- All instructions should have nonzero 'duration' and 'error' properties set.
You must implement this using a function named `create_target` with no arguments.

You must define a function named `create_target` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
data = convert_qasm_string_to_quantum_circuit()
assert isinstance(data, QuantumCircuit)
assert data.num_qubits == 2

Prompt:
Using Qiskit v0.43, Generate a QASM 2 string representing a Phi plus Bell state quantum circuit. Then, convert this QASM 2 string into a Quantum Circuit object and return the resulting circuit.
You must implement this using a function named `convert_qasm_string_to_quantum_circuit` with no arguments.

You must define a function named `convert_qasm_string_to_quantum_circuit` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
data = convert_qasm_string_to_quantum_circuit()
assert isinstance(data, QuantumCircuit)
assert data.num_qubits == 2

Prompt:
Using Qiskit v1.3, Generate a QASM 2 string representing a Phi plus Bell state quantum circuit. Then, convert this QASM 2 string into a Quantum Circuit object and return the resulting circuit.
You must implement this using a function named `convert_qasm_string_to_quantum_circuit` with no arguments.

You must define a function named `convert_qasm_string_to_quantum_circuit` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
data = convert_qasm_string_to_quantum_circuit()
assert isinstance(data, QuantumCircuit)
assert data.num_qubits == 2

Prompt:
Using Qiskit v2.0, Generate a QASM 2 string representing a Phi plus Bell state quantum circuit. Then, convert this QASM 2 string into a Quantum Circuit object and return the resulting circuit.
You must implement this using a function named `convert_qasm_string_to_quantum_circuit` with no arguments.

You must define a function named `convert_qasm_string_to_quantum_circuit` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


import os
from qiskit import qpy
create_binary_serialization()
assert os.path.exists("bell.qpy")
with open("bell.qpy", "rb") as fd:
    data = qpy.load(fd)[0]
assert data.num_qubits == 2

Prompt:
Using Qiskit v0.43, Create a file containing the binary serialization of a Phi plus Bell state quantum circuit and write it as 'bell.qpy' in binary mode.
You must implement this using a function named `create_binary_serialization` with no arguments.

You must define a function named `create_binary_serialization` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


import os
from qiskit import qpy
create_binary_serialization()
assert os.path.exists("bell.qpy")
with open("bell.qpy", "rb") as fd:
    data = qpy.load(fd)[0]
assert data.num_qubits == 2

Prompt:
Using Qiskit v1.3, Create a file containing the binary serialization of a Phi plus Bell state quantum circuit and write it as 'bell.qpy' in binary mode.
You must implement this using a function named `create_binary_serialization` with no arguments.

You must define a function named `create_binary_serialization` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


import os
from qiskit import qpy
create_binary_serialization()
assert os.path.exists("bell.qpy")
with open("bell.qpy", "rb") as fd:
    data = qpy.load(fd)[0]
assert data.num_qubits == 2

Prompt:
Using Qiskit v2.0, Create a file containing the binary serialization of a Phi plus Bell state quantum circuit and write it as 'bell.qpy' in binary mode.
You must implement this using a function named `create_binary_serialization` with no arguments.

You must define a function named `create_binary_serialization` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
qc = QuantumCircuit(2, 2)
qc.h(0)
qc.cx(0, 1)
qasm_str = convert_quantum_circuit_to_qasm_string(qc)
assert isinstance(qasm_str, str)
assert len(qasm_str) > 0
assert "OPENQASM" in qasm_str

Prompt:
Using Qiskit v0.43, Given a QuantumCircuit, convert it into qasm2 string and return it.
You must implement this using a function named `convert_quantum_circuit_to_qasm_string` with the following arguments: circuit.

You must define a function named `convert_quantum_circuit_to_qasm_string` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
qc = QuantumCircuit(2, 2)
qc.h(0)
qc.cx(0, 1)
qasm_str = convert_quantum_circuit_to_qasm_string(qc)
assert isinstance(qasm_str, str)
assert len(qasm_str) > 0
assert "OPENQASM" in qasm_str

Prompt:
Using Qiskit v1.3, Given a QuantumCircuit, convert it into qasm2 string and return it.
You must implement this using a function named `convert_quantum_circuit_to_qasm_string` with the following arguments: circuit.

You must define a function named `convert_quantum_circuit_to_qasm_string` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
qc = QuantumCircuit(2, 2)
qc.h(0)
qc.cx(0, 1)
qasm_str = convert_quantum_circuit_to_qasm_string(qc)
assert isinstance(qasm_str, str)
assert len(qasm_str) > 0
assert "OPENQASM" in qasm_str

Prompt:
Using Qiskit v2.0, Given a QuantumCircuit, convert it into qasm2 string and return it.
You must implement this using a function named `convert_quantum_circuit_to_qasm_string` with the following arguments: circuit.

You must define a function named `convert_quantum_circuit_to_qasm_string` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit, QuantumRegister
from qiskit.circuit.gate import Gate
q = QuantumRegister(3, "q")
circ = QuantumCircuit(q)
circ.h(q[0])
circ.cx(q[0], q[1])
custom_gate = circ_to_gate(circ)
assert isinstance(custom_gate, Gate)
assert custom_gate.num_qubits == 3

Prompt:
Using Qiskit v0.43, Given a QuantumCircuit, convert it into a gate equivalent to the action of the input circuit and return it.
You must implement this using a function named `circ_to_gate` with the following arguments: circ.

You must define a function named `circ_to_gate` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit, QuantumRegister
from qiskit.circuit.gate import Gate
q = QuantumRegister(3, "q")
circ = QuantumCircuit(q)
circ.h(q[0])
circ.cx(q[0], q[1])
custom_gate = circ_to_gate(circ)
assert isinstance(custom_gate, Gate)
assert custom_gate.num_qubits == 3

Prompt:
Using Qiskit v1.3, Given a QuantumCircuit, convert it into a gate equivalent to the action of the input circuit and return it.
You must implement this using a function named `circ_to_gate` with the following arguments: circ.

You must define a function named `circ_to_gate` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit, QuantumRegister
from qiskit.circuit.gate import Gate
q = QuantumRegister(3, "q")
circ = QuantumCircuit(q)
circ.h(q[0])
circ.cx(q[0], q[1])
custom_gate = circ_to_gate(circ)
assert isinstance(custom_gate, Gate)
assert custom_gate.num_qubits == 3

Prompt:
Using Qiskit v2.0, Given a QuantumCircuit, convert it into a gate equivalent to the action of the input circuit and return it.
You must implement this using a function named `circ_to_gate` with the following arguments: circ.

You must define a function named `circ_to_gate` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


import numpy as np
result = get_unitary()
assert hasattr(result, "shape")
assert tuple(result.shape) == (4, 4)

Prompt:
Using Qiskit v0.43, Get unitary matrix for a phi plus bell circuit and return it.
You must implement this using a function named `get_unitary` with no arguments.

You must define a function named `get_unitary` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


import numpy as np
result = get_unitary()
assert hasattr(result, "shape")
assert tuple(result.shape) == (4, 4)

Prompt:
Using Qiskit v1.3, Get unitary matrix for a phi plus bell circuit and return it.
You must implement this using a function named `get_unitary` with no arguments.

You must define a function named `get_unitary` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


import numpy as np
result = get_unitary()
assert hasattr(result, "shape")
assert tuple(result.shape) == (4, 4)

Prompt:
Using Qiskit v2.0, Get unitary matrix for a phi plus bell circuit and return it.
You must implement this using a function named `get_unitary` with no arguments.

You must define a function named `get_unitary` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.quantum_info.operators import Operator
result = compose_op()
assert isinstance(result, Operator)
assert result.num_qubits == 3

Prompt:
Using Qiskit v0.43, Compose YX with a 3-qubit identity operator using the Operator and the Pauli 'YX' class in Qiskit. Return the operator instance.
You must implement this using a function named `compose_op` with no arguments.

You must define a function named `compose_op` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.quantum_info.operators import Operator
result = compose_op()
assert isinstance(result, Operator)
assert result.num_qubits == 3

Prompt:
Using Qiskit v1.3, Compose YX with a 3-qubit identity operator using the Operator and the Pauli 'YX' class in Qiskit. Return the operator instance.
You must implement this using a function named `compose_op` with no arguments.

You must define a function named `compose_op` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.quantum_info.operators import Operator
result = compose_op()
assert isinstance(result, Operator)
assert result.num_qubits == 3

Prompt:
Using Qiskit v2.0, Compose YX with a 3-qubit identity operator using the Operator and the Pauli 'YX' class in Qiskit. Return the operator instance.
You must implement this using a function named `compose_op` with no arguments.

You must define a function named `compose_op` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.quantum_info.operators import Operator
result = combine_op()
assert isinstance(result, Operator)
assert result.num_qubits == 2

Prompt:
Using Qiskit v0.43, Combine the following three operators XX YY ZZ as: 0.5 * (XX + YY - 3 * ZZ).
You must implement this using a function named `combine_op` with no arguments.

You must define a function named `combine_op` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.quantum_info.operators import Operator
result = combine_op()
assert isinstance(result, Operator)
assert result.num_qubits == 2

Prompt:
Using Qiskit v1.3, Combine the following three operators XX YY ZZ as: 0.5 * (XX + YY - 3 * ZZ).
You must implement this using a function named `combine_op` with no arguments.

You must define a function named `combine_op` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.quantum_info.operators import Operator
result = combine_op()
assert isinstance(result, Operator)
assert result.num_qubits == 2

Prompt:
Using Qiskit v2.0, Combine the following three operators XX YY ZZ as: 0.5 * (XX + YY - 3 * ZZ).
You must implement this using a function named `combine_op` with no arguments.

You must define a function named `combine_op` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.quantum_info import DensityMatrix
result = calculate_bell_state_properties()
assert isinstance(result, tuple)
assert len(result) == 2
rho, conc = result
assert isinstance(rho, DensityMatrix)
assert isinstance(conc, (int, float, complex))

Prompt:
Using Qiskit v0.43, Construct a Phi plus Bell state quantum circuit, compute its Density Matrix and Concurrence, and return these results in a tuple in the same order.
You must implement this using a function named `calculate_bell_state_properties` with no arguments.

You must define a function named `calculate_bell_state_properties` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.quantum_info import DensityMatrix
result = calculate_bell_state_properties()
assert isinstance(result, tuple)
assert len(result) == 2
rho, conc = result
assert isinstance(rho, DensityMatrix)
assert isinstance(conc, (int, float, complex))

Prompt:
Using Qiskit v1.3, Construct a Phi plus Bell state quantum circuit, compute its Density Matrix and Concurrence, and return these results in a tuple in the same order.
You must implement this using a function named `calculate_bell_state_properties` with no arguments.

You must define a function named `calculate_bell_state_properties` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.quantum_info import DensityMatrix
result = calculate_bell_state_properties()
assert isinstance(result, tuple)
assert len(result) == 2
rho, conc = result
assert isinstance(rho, DensityMatrix)
assert isinstance(conc, (int, float, complex))

Prompt:
Using Qiskit v2.0, Construct a Phi plus Bell state quantum circuit, compute its Density Matrix and Concurrence, and return these results in a tuple in the same order.
You must implement this using a function named `calculate_bell_state_properties` with no arguments.

You must define a function named `calculate_bell_state_properties` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.quantum_info import StabilizerState
stab, probabilities_dict = calculate_stabilizer_state_info()
assert isinstance(stab, StabilizerState)
assert isinstance(probabilities_dict, dict)
assert len(probabilities_dict) > 0

Prompt:
Using Qiskit v0.43, Construct a Phi plus Bell state quantum circuit, compute its stabilizer state, and return both the stabilizer state and a dictionary of the stabilizer state measurement probabilities.
You must implement this using a function named `calculate_stabilizer_state_info` with no arguments.

You must define a function named `calculate_stabilizer_state_info` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.quantum_info import StabilizerState
stab, probabilities_dict = calculate_stabilizer_state_info()
assert isinstance(stab, StabilizerState)
assert isinstance(probabilities_dict, dict)
assert len(probabilities_dict) > 0

Prompt:
Using Qiskit v1.3, Construct a Phi plus Bell state quantum circuit, compute its stabilizer state, and return both the stabilizer state and a dictionary of the stabilizer state measurement probabilities.
You must implement this using a function named `calculate_stabilizer_state_info` with no arguments.

You must define a function named `calculate_stabilizer_state_info` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.quantum_info import StabilizerState
stab, probabilities_dict = calculate_stabilizer_state_info()
assert isinstance(stab, StabilizerState)
assert isinstance(probabilities_dict, dict)
assert len(probabilities_dict) > 0

Prompt:
Using Qiskit v2.0, Construct a Phi plus Bell state quantum circuit, compute its stabilizer state, and return both the stabilizer state and a dictionary of the stabilizer state measurement probabilities.
You must implement this using a function named `calculate_stabilizer_state_info` with no arguments.

You must define a function named `calculate_stabilizer_state_info` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.quantum_info import CNOTDihedral
result = initialize_cnot_dihedral()
assert isinstance(result, CNOTDihedral)
assert result.num_qubits == 2

Prompt:
Using Qiskit v0.43, Initialize a CNOTDihedral element from a QuantumCircuit consist of 2-qubits with cx gate on qubit 0 and 1 and t gate on qubit 0 and return.
You must implement this using a function named `initialize_cnot_dihedral` with no arguments.

You must define a function named `initialize_cnot_dihedral` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.quantum_info import CNOTDihedral
result = initialize_cnot_dihedral()
assert isinstance(result, CNOTDihedral)
assert result.num_qubits == 2

Prompt:
Using Qiskit v1.3, Initialize a CNOTDihedral element from a QuantumCircuit consist of 2-qubits with cx gate on qubit 0 and 1 and t gate on qubit 0 and return.
You must implement this using a function named `initialize_cnot_dihedral` with no arguments.

You must define a function named `initialize_cnot_dihedral` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.quantum_info import CNOTDihedral
result = initialize_cnot_dihedral()
assert isinstance(result, CNOTDihedral)
assert result.num_qubits == 2

Prompt:
Using Qiskit v2.0, Initialize a CNOTDihedral element from a QuantumCircuit consist of 2-qubits with cx gate on qubit 0 and 1 and t gate on qubit 0 and return.
You must implement this using a function named `initialize_cnot_dihedral` with no arguments.

You must define a function named `initialize_cnot_dihedral` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.quantum_info import CNOTDihedral
result = compose_cnot_dihedral()
assert isinstance(result, CNOTDihedral)
assert result.num_qubits == 2

Prompt:
Using Qiskit v0.43, Create two Quantum Circuits of 2 qubits. First quantum circuit should have a cx gate on qubits 0 and 1 and a T gate on qubit 0. The second one is the same but with an additional X gate on qubit 1. Convert the two quantum circuits into CNOTDihedral elements and return the composed circuit.
You must implement this using a function named `compose_cnot_dihedral` with no arguments.

You must define a function named `compose_cnot_dihedral` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.quantum_info import CNOTDihedral
result = compose_cnot_dihedral()
assert isinstance(result, CNOTDihedral)
assert result.num_qubits == 2

Prompt:
Using Qiskit v1.3, Create two Quantum Circuits of 2 qubits. First quantum circuit should have a cx gate on qubits 0 and 1 and a T gate on qubit 0. The second one is the same but with an additional X gate on qubit 1. Convert the two quantum circuits into CNOTDihedral elements and return the composed circuit.
You must implement this using a function named `compose_cnot_dihedral` with no arguments.

You must define a function named `compose_cnot_dihedral` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit.quantum_info import CNOTDihedral
result = compose_cnot_dihedral()
assert isinstance(result, CNOTDihedral)
assert result.num_qubits == 2

Prompt:
Using Qiskit v2.0, Create two Quantum Circuits of 2 qubits. First quantum circuit should have a cx gate on qubits 0 and 1 and a T gate on qubit 0. The second one is the same but with an additional X gate on qubit 1. Convert the two quantum circuits into CNOTDihedral elements and return the composed circuit.
You must implement this using a function named `compose_cnot_dihedral` with no arguments.

You must define a function named `compose_cnot_dihedral` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result = QFT(3)
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 3
for gate in result.data:
    op = gate.operation
    assert op.num_qubits <= 2 or op.name == "barrier"

Prompt:
Using Qiskit v0.43, Design a Quantum Fourier Transform circuit for n qubits using basic Quantum gates.
You must implement this using a function named `QFT` with the following arguments: n.

You must define a function named `QFT` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result = QFT(3)
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 3
for gate in result.data:
    op = gate.operation
    assert op.num_qubits <= 2 or op.name == "barrier"

Prompt:
Using Qiskit v1.3, Design a Quantum Fourier Transform circuit for n qubits using basic Quantum gates.
You must implement this using a function named `QFT` with the following arguments: n.

You must define a function named `QFT` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
result = QFT(3)
assert isinstance(result, QuantumCircuit)
assert result.num_qubits == 3
for gate in result.data:
    op = gate.operation
    assert op.num_qubits <= 2 or op.name == "barrier"

Prompt:
Using Qiskit v2.0, Design a Quantum Fourier Transform circuit for n qubits using basic Quantum gates.
You must implement this using a function named `QFT` with the following arguments: n.

You must define a function named `QFT` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.


from qiskit import QuantumCircuit
for num_qubits in [1, 3, 8]:
    response = qft_no_swaps(num_qubits)
    assert isinstance(response, QuantumCircuit)
    assert response.num_qubits == num_qubits
    assert response.count_ops().get("swap", 0) == 0

Prompt:
Using Qiskit v0.43, Return an inverse quantum Fourier transform circuit without the swap gates.
You must implement this using a function named `qft_no_swaps` with the following arguments: num_qubits.

You must define a function named `qft_no_swaps` as described above. Return only a complete, runnable Python code block with all necessary imports. Do not include explanations outside the code. Use only standard library imports and the Qiskit SDK.