PIRSA:19070020 Conference Condensed Matter

DOI10.48660/19070020

Conference/School: Machine Learning for Quantum Design

Deng, D. (2019). Machine learning meets quantum physics. Perimeter Institute. https://pirsa.org/19070020

Deng, Dong-Ling. Machine learning meets quantum physics. Perimeter Institute, Jul. 08, 2019, https://pirsa.org/19070020 

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

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.

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