2018 Workshop on
Statistical Physics of Disordered Systems
and Its Applications (SPDSA2018)
--- Statistical-Mechanical Informatics and Statistical Machine Learning Theory in Big Data Sciences ---



Schedule: 7-8 November, 2018

Venue: Meeting Room Horai in Akiu Resort Hotel Sakan (Access)
    Yumoto Akiu, Taihaku-Ku, Sendai 982-0241, Japan

Scientific Program:

      Organized session only: We do not accept submissions from non-invited speakers.

    7 November, 2018

      13:00-13:10 Opening
      13:10-14:00
        Jack Raymond (D-Wave Systems, Canada)
          Title: Quantum simulation of condensed matter in programmable qubit lattices
          Abstract: Simulation of quantum magnetic systems in the vicinity of phase transitions is a central problem in condensed matter physics. Quantum simulation of frustrated magnetic lattices in the transverse-field Ising model is a natural fit for quantum annealing processors, which are now available at the 2000-qubit scale. In this talk I will discuss experimental results on quantum simulation of two-dimensional (Nature 560 pp 456--460) and three-dimensional (Science 165 pp 162--165) lattices using quantum annealing processors in non-annealing modes. These experiments probe, respectively, a topological Kosterlitz-Thouless phase transition and paramagnet/ordered/spin-glass phase transitions.
      14:00-14:30
        Masamichi Miyama (GSIS, Tohoku University, Japan)
          Title: The challenge of T-QARD toward applications of D-Wave machines for the real world problems
      14:30-15:00
        Ryoji Miyazaki (GSIS, Tohoku University, Japan)
          Title: Solving combinatorial optimization problems with optical network
      15:00-15:15
        Break
      15:15-15:35
        Shunta Arai (GSIS, Tohoku University, Japan)
          Title: Dynamics of order parameters of non-stoquastic Hamiltonian in adaptive quantum Monte Carlo method
      15:35-15:55
        Manaka Okuyama (Dept. of Physics, Tokyo Institute of Technology, Japan)
          Title: Optimal control theory solves mean-field quantum spin systems
      15:55-16:15
        Chako Takahashi (GSIS, Tohoku University, Japan)
          Title: Learning restricted Boltzmann machine via the adaptive Thouless-Anderson-Palmer mean-field approximation
      16:15-16:35
        Shuntaro Okada (GSIS, Tohoku University / DENSO CORPORATION, Japan)
          Title: Improving solutions by embedding larger subproblems in a D-Wave quantum annealer
      16:35-17:05
        Tadashi Kadowaki (DENSO CORPORATION, Japan)
          Title: Dynamics of open quantum systems by interpolation of von Neumann and classical master equations, and its application to quantum annealing

    8 November 2018
      7:00-10:00
        Plenary General Discussions

Organized by

    Masayuki Ohzeki (GSIS, Tohoku University, Japan)
    Kazuyuki Tanaka (GSIS, Tohoku University, Japan)

Supported by

    JST-CREST``Foundations of Innovative Algorithms for Big Data''
    JST-ImPACT Program "Advanced Information Society Infrastructure Linking Qumtum Artificial Grains in Quantum Network''
    JST-START Program "Realization of Optimization Technology by Quantum Annealing''
    JSPS KAKENHI Grants-in-Aid for Scientific Research (B) ``Creation of design theory of quantum statistical machine learning system and its realization'' (No.18H03303)

Co-Supported by

    Graduate School of Information Sciences (GSIS), Tohoku University, Japan

Related Webpages

    SPDSA2013 (20-21 March, 2013, Sendai, Japan)
    SPDSA2014 (10 March, 2014, Kyoto, Japan)
    SPDSA2015 (19 February, 2015, Kyoto, Japan)
    SPDSA2016 (27-28 January, 2016, Sendai, Japan)
    SPDSA2017 (8-9 February, 2017, Sendai, Japan)