qat.purr.integrations.qiskit module

class QatBackend(hardware=None, comp_config=None, **fields)

Bases: BasicSimulator

Basic qiskit backend built to run QASM on our own target machines.

TODO: Expand this to become a proper back-end, as I don’t believe we need to inherit

off the QASM simulator as it stands.

Args:

provider: An optional backwards reference to the provider object that the backend: is from.

target: An optional target to configure the simulator. fields: kwargs for the values to use to override the default

options.

Raises:

AttributeError: If a field is specified that’s outside the backend’s: options.

run(run_input, **run_options)

Run on the backend.

Args:

run_input (QuantumCircuit or list): the QuantumCircuit (or list: of QuantumCircuit objects) to run

run_options (kwargs): additional runtime backend options

Returns:

BasicProviderJob: derived from BaseJob

Additional Information:

kwarg options specified in run_options will temporarily override any set options of the same name for the current run. These may include:
- “initial_statevector”: vector-like. The “initial_statevector” option specifies a custom initial statevector to be used instead of the all-zero state. The size of this vector must correspond to the number of qubits in the run_input argument.
- “seed_simulator”: int. This is the internal seed for sample generation.
- “shots”: int. Number of shots used in the simulation.
- “memory”: bool. If True, the result will contain the results of every individual shot simulation.

Example:

backend.run(
    circuit_2q,
    initial_statevector = np.array([1, 0, 0, 1j]) / math.sqrt(2)
)

run_qasm(qasm_str): Runs the passed-in QASM string against the QASM state simulator.

run_qasm_from_file(qasm_file): Runs the passed-in QASM file against the QASM state simulator.