19060029

Video URL

http://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. http://pirsa.org/19060029

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

          @misc{ scitalks_19060029,
            doi = {},
            url = {http://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 = {19060029 see, \url{https://scitalks.ca/PIRSA/19060029}}
          }

Ashley Milsted California Institute of Technology

Source Repository PIRSA
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.