qiskit.aqua.components.neural_networks.QuantumGenerator.get_output

QuantumGenerator.get_output(quantum_instance, params=None, shots=None)

Get classical data samples from the generator. Running the quantum generator circuit results in a quantum state. To train this generator with a classical discriminator, we need to sample classical outputs by measuring the quantum state and mapping them to feature space defined by the training data.

Parameters

• quantum_instance (QuantumInstance) – Quantum Instance, used to run the generator circuit.

• params (numpy.ndarray) – array or None, parameters which should be used to run the generator, if None use self._params

• shots (int) – if not None use a number of shots that is different from the number set in quantum_instance

Returns

generated samples, array: sample occurrence in percentage

Return type

list