PIRSA:22110087

Video URL

https://pirsa.org/22110087

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

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

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

          @misc{ scivideos_PIRSA:22110087,
            doi = {10.48660/22110087},
            url = {https://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 = {PIRSA:22110087 see, \url{https://scivideos.org/pirsa/22110087}}
          }

Friederike Metz L'Ecole Polytechnique Federale de Lausanne (EPFL)

Talk numberPIRSA:22110087
DOI10.48660/22110087
Source RepositoryPIRSA
Collection
Talk Type Conference
Subject

Abstract

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