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Showing 1–3 of 3 results
Advanced filters: Author: Srinivasan Arunachalam Clear advanced filters

  • Learning the Hamiltonian of a complex many-body system is hard, but now there is proof that it can be done in a way where the number of required measurements scales as a polynomial of the number of particles.

    • Anurag Anshu
    • Srinivasan Arunachalam
    • Mehdi Soleimanifar
    Research
    Nature Physics
    Volume: 17, P: 931-935

  • Many quantum machine learning algorithms have been proposed, but it is typically unknown whether they would outperform classical methods on practical devices. A specially constructed algorithm shows that a formal quantum advantage is possible.

    • Yunchao Liu
    • Srinivasan Arunachalam
    • Kristan Temme
    Research
    Nature Physics
    Volume: 17, P: 1013-1017

  • Quantum learning theory is a new and very active area of research at the intersection of quantum computing and machine learning. This Perspective surveys the progress in this field, highlighting a number of exciting open questions.

    • Anurag Anshu
    • Srinivasan Arunachalam
    Reviews
    Nature Reviews Physics
    Volume: 6, P: 59-69