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.
Neural Network Base Classes¶
Abstract Neural Network class providing forward and backward pass and handling batched inputs. 
Neural Networks¶
Abstract Neural Network class providing forward and backward pass and handling batched inputs. 

Opflow Quantum Neural Network. 

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

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

A Sampling Neural Network based on a given quantum circuit. 