QiskitAerSimulationSettings

class QiskitAerSimulationSettings(simulator, callback=None)

GitHub

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

Type: Callable[[QuantumCircuit, Result], None] | None

Default value: None

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

simulator

Type: AerSimulator

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

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