QiskitAerSimulationSettings

class QiskitAerSimulationSettings(simulator, callback=None)

Bases: TensorNetworkSimulationSettings

Qiskit Aer simulator settings.

Example usage:

from qiskit_aer import AerSimulator
from qiskit_addon_aqc_tensor.simulation.aer import QiskitAerSimulationSettings

simulator = AerSimulator(
    method="matrix_product_state",
    matrix_product_state_max_bond_dimension=200,
    matrix_product_state_truncation_threshold=1e-6,
    mps_log_data=True,
)

def my_simulation_callback(circuit, result):
    print(f"Simulated circuit of depth {circuit.depth()}")
    metadata = result.results[0].metadata
    print(metadata["MPS_log_data"])

settings = QiskitAerSimulationSettings(simulator, my_simulation_callback)

See additional options for when using the matrix_product_state simulation method in the documentation for AerSimulator.

Attributes

Parameters:

• simulator (AerSimulator)

• callback (Callable[[QuantumCircuit, Result], None] | None)

callback: Callable[[QuantumCircuit, Result], None] | None = None

This callable, if provided, is called with (circuit, result) as arguments immediately after each MPS simulation.

simulator: AerSimulator

Aer simulator, must be configured with method=’matrix_product_state’. Stores configuration like max_bond_dimension, truncation_threshold, etc.