Machine learning meets quantum physics

          @misc{ scivideos_PIRSA:19070020,
            doi = {10.48660/19070020},
            url = {https://pirsa.org/19070020},
            author = {Deng, Dong-Ling},
            keywords = {Quantum Matter},
            language = {en},
            title = {Machine learning meets quantum physics},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2019},
            month = {jul},
            note = {PIRSA:19070020 see, \url{https://scivideos.org/pirsa/19070020}}
          }
          

Abstract

Recently, machine learning has attracted tremendous interest across different communities. In this talk, I will briefly introduce some new progresses in the emergent field of quantum machine learning ---an interdisciplinary field that explores the interactions between quantum physics and machine learning. On the one hand, I will talk about a couple of quantum algorithms that promise an exponential speed-up for machine learning tasks. On the other hand, I will show how ideas and techniques from machine learning can help solve challenging problems in the quantum domain.