A quantum algorithm to train neural networks using low-depth circuits

Guillaume Verdon, Michael Broughton, Jacob Biamonte

The paper proposes a low‑depth variational quantum algorithm that uses QAOA to sample low‑energy Ising distributions for training generative neural networks, and demonstrates conve…

A Universal Training Algorithm for Quantum Deep Learning

Guillaume Verdon, Jason Pye, Michael Broughton

For Fixed Control Parameters the Quantum Approximate Optimization Algorithm's Objective Function Value Concentrates for Typical Instances

Fernando G. S. L. Brandao, Michael Broughton, Edward Farhi +2

Learning to learn with quantum neural networks via classical neural networks

Guillaume Verdon, Michael Broughton, Jarrod R. McClean +5