22110087

Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks

APA

Metz, F. (2022). Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks. Perimeter Institute for Theoretical Physics. http://pirsa.org/22110087

MLA

Metz, Friederike. Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks. Perimeter Institute for Theoretical Physics, Nov. 22, 2022, http://pirsa.org/22110087

BibTex

          @misc{ scitalks_22110087,
            doi = {},
            url = {http://pirsa.org/22110087},
            author = {Metz, Friederike},
            keywords = {Quantum Matter},
            language = {en},
            title = {Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2022},
            month = {nov},
            note = {Talk #22110087 see, \url{https://scitalks.ca}}
          }
          

Friederike Metz Okinawa Institute of Science and Technology Graduate University

Source Repository PIRSA
Talk Type Conference

Abstract

Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks