Search Results - "Day, Alexandre G. R."

  • Showing 1 - 12 results of 12
Refine Results
  1. 1

    Reinforcement Learning in Different Phases of Quantum Control by Bukov, Marin, Day, Alexandre G. R., Sels, Dries, Weinberg, Phillip, Polkovnikov, Anatoli, Mehta, Pankaj

    Published in Physical review. X (27-09-2018)
    “…The ability to prepare a physical system in a desired quantum state is central to many areas of physics such as nuclear magnetic resonance, cold atoms, and…”
    Get full text
    Journal Article
  2. 2

    Glassy Phase of Optimal Quantum Control by Day, Alexandre G R, Bukov, Marin, Weinberg, Phillip, Mehta, Pankaj, Sels, Dries

    Published in Physical review letters (18-01-2019)
    “…We study the problem of preparing a quantum many-body system from an initial to a target state by optimizing the fidelity over the family of bang-bang…”
    Get full text
    Journal Article
  3. 3

    A high-bias, low-variance introduction to Machine Learning for physicists by Mehta, Pankaj, Bukov, Marin, Wang, Ching-Hao, Day, Alexandre G.R., Richardson, Clint, Fisher, Charles K., Schwab, David J.

    Published in Physics reports (30-05-2019)
    “…Machine Learning (ML) is one of the most exciting and dynamic areas of modern research and application. The purpose of this review is to provide an…”
    Get full text
    Journal Article
  4. 4
  5. 5

    Order-by-disorder near criticality in XY pyrochlore magnets by Javanparast, Behnam, Day, Alexandre G R, Hao, Zhihao, Gingras, Michel J P

    “…We consider a system of spins on the sites of a three-dimensional pyrochlore lattice of corner-sharing tetrahedra interacting with a predominant effective xy…”
    Get full text
    Journal Article
  6. 6
  7. 7

    Glassy Phase of Optimal Quantum Control by Day, Alexandre G. R, Bukov, Marin, Weinberg, Phillip, Mehta, Pankaj, Sels, Dries

    Published 08-02-2019
    “…Phys. Rev. Lett. 122, 020601 (2019) We study the problem of preparing a quantum many-body system from an initial to a target state by optimizing the fidelity…”
    Get full text
    Journal Article
  8. 8

    Reinforcement Learning in Different Phases of Quantum Control by Bukov, Marin, Day, Alexandre G. R, Sels, Dries, Weinberg, Phillip, Polkovnikov, Anatoli, Mehta, Pankaj

    Published 29-09-2018
    “…Phys. Rev. X 8, 031086 (2018) The ability to prepare a physical system in a desired quantum state is central to many areas of physics such as nuclear magnetic…”
    Get full text
    Journal Article
  9. 9

    A high-bias, low-variance introduction to Machine Learning for physicists by Mehta, Pankaj, Bukov, Marin, Wang, Ching-Hao, Day, Alexandre G. R, Richardson, Clint, Fisher, Charles K, Schwab, David J

    Published 27-05-2019
    “…Phyics Reports 810 (2019) 1-124 Machine Learning (ML) is one of the most exciting and dynamic areas of modern research and application. The purpose of this…”
    Get full text
    Journal Article
  10. 10

    Broken symmetry in a two-qubit quantum control landscape by Bukov, Marin, Day, Alexandre G. R, Weinberg, Phillip, Polkovnikov, Anatoli, Mehta, Pankaj, Sels, Dries

    Published 15-05-2018
    “…Phys. Rev. A 97, 052114 (2018) We analyze the physics of optimal protocols to prepare a target state with high fidelity in a symmetrically coupled two-qubit…”
    Get full text
    Journal Article
  11. 11

    Bosonic Many-body Theory of Quantum Spin Ice by Hao, Zhihao, Day, Alexandre G. R, Gingras, M. J. P

    Published 12-02-2015
    “…Phys. Rev. B 90, 214430 (2014) We carry out an analytical study of quantum spin ice, a U$(1)$ quantum spin liquid close to the classical spin ice solution for…”
    Get full text
    Journal Article
  12. 12