PIRSA:19060029

Video URL

https://pirsa.org/19060029

TensorNetwork: accelerating tensor network computations and improving the coding experience

Milsted, A. (2019). TensorNetwork: accelerating tensor network computations and improving the coding experience. Perimeter Institute for Theoretical Physics. https://pirsa.org/19060029

Milsted, Ashley. TensorNetwork: accelerating tensor network computations and improving the coding experience. Perimeter Institute for Theoretical Physics, Jun. 13, 2019, https://pirsa.org/19060029 

          @misc{ scivideos_PIRSA:19060029,
            doi = {10.48660/19060029},
            url = {https://pirsa.org/19060029},
            author = {Milsted, Ashley},
            keywords = {Quantum Matter},
            language = {en},
            title = {TensorNetwork: accelerating tensor network computations and improving the coding experience},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2019},
            month = {jun},
            note = {PIRSA:19060029 see, \url{https://scivideos.org/index.php/pirsa/19060029}}
          }

Ashley Milsted California Institute of Technology

Talk numberPIRSA:19060029
DOI10.48660/19060029
Source RepositoryPIRSA
Collection
Talk Type Conference
Subject

Abstract

Tensor networks are powerful computational tools, widely used in condensed matter physics, and increasingly in high-energy physics, with promising applications to machine learning problems. Developed in collaboration with Google and X, we present TensorNetwork: a new software package that makes it easier to code tensor network algorithms and, by using a framework like TensorFlow as a backend, to accelerate computations using specialized hardware (GPUs, TPUs) and integrate tensor networks into machine-learning projects.