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Neural Networks (qiskit_machine_learning.neural_networks)

A neural network is a parametrized network which may be defined as a artificial neural network - classical neural network - or as parametrized quantum circuits - quantum neural network. Furthermore, neural networks can be defined with respect to a discriminative or generative task.

Neural Networks may be used, for example, with the QGAN algorithm.

See also the TorchConnector that allows the use of these neural networks in code written to PyTorch.

Neural Network Base Classes

NeuralNetwork

Abstract Neural Network class providing forward and backward pass and handling batched inputs.

SamplingNeuralNetwork

A Sampling Neural Network abstract class for all (quantum) neural networks within Qiskit’s machine learning module that generate samples instead of (expected) values.

Neural Networks

OpflowQNN

Opflow Quantum Neural Network.

TwoLayerQNN

Two Layer Quantum Neural Network consisting of a feature map, a ansatz, and an observable.

CircuitQNN

A Sampling Neural Network based on a given quantum circuit.