Quantum Codes from Neural Networks

Understand

We examine the usefulness of applying neural networks as a variational state ansatz for many-body quantum systems in the context of quantum information-processing tasks.

• In the neural network state ansatz, the complex amplitude function of a quantum state is computed by a neural network.
• The resulting multipartite entanglement structure captured by this ansatz has proven rich enough to describe the ground states and unitary dynamics of various physical systems of interest.
• In the present paper, we initiate the study of neural network states in quantum information-processing tasks.