Identifying optimal cycles in quantum thermal machines with reinforcement-learning

npj Quantum Information, Published online: 10 January 2022; doi:10.1038/s41534-021-00512-0

Identifying optimal cycles in quantum thermal machines with reinforcement-learning

Previous Article

Light–matter interactions simulated on the world’s fastest supercomputer

Next Article

Quantum Information & Computing Meeting: How to simulate quantum measurement without computing marginals

You might be interested in …

Leave a Reply

Your email address will not be published. Required fields are marked *

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

The reCAPTCHA verification period has expired. Please reload the page.