modules.solvers.qaoa.train

train(device: AwsDevice, options: dict, p: int, ising: ndarray, n_qubits: int, n_shots: int, opt_method: str, tracker: dict, s3_folder: tuple[str, str], verbose: bool = True) → tuple[float, ndarray, dict]

Function to run QAOA algorithm for given, fixed circuit depth p.

Parameters:

• device -- Device to run the circuit on

• options -- Dict containing parameters of classical part of the QAOA

• p -- Circuit depth

• ising -- Ising matrix

• n_qubits -- Number of qubits

• n_shots -- Number of measurements to make on the circuit

• opt_method -- Controls degree of detail in logs

• tracker -- Keeps track of the runs on the circuit

• s3_folder -- AWS S3 bucket

• verbose -- Controls degree of detail in logs

Returns:

Results of the training as a tuple of the energy, the angle and the tracker