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(Lunch Seminar) Computation with Tensor Networks

04/20 2021
  • Title (Lunch Seminar) Computation with Tensor Networks
  • Speaker
  • Date
  • Venue
  • Abstract

    CAS Key Laboratory of Theoretical Physics

    Institute of Theoretical Physics

    Chinese Academy of Sciences

    Lunch Seminar

    Title

    题目

    Computation with Tensor Networks

    Speaker

    报告人

    Pan Zhang

    Affiliation

    所在单位

    中科院理论物理所

    Date

    日期

    4月20日12:00

    Venue

    地点

    6620

    Contact Person

    所内联系人

    石弢

    Abstract

    摘要

    In the lunch seminar, Pan Zhang will present methods and algorithms for solving statistical mechanics problems, combinatorial optimization problems, and quantum circuit simulations, in an integrated framework based on tensor networks.
    In statistical mechanics problems, the partition function (i.e. the normalization factor of the Boltzmann distribution) at a finite temperature can be obtained by contracting a tensor network that is converted from the statistical mechanics problem. When equipped with the “Tropical” algebra, the tensor network contraction can be used to obtain ground state energy and entropy of the model directly at zero temperature. When the interactions in the statistical mechanics model are complex, computing the partition function acts as estimating the amplitude of an end state of a quantum circuit, thus tensor network contractions can be used to simulate quantum computers. Pan Zhang will introduce approximate and exact algorithms for contracting tensor networks, and their wide applications, particularly in simulating Google’s Sycamore quantum circuits.