Publications

Paper

  1. Shunta Arai, Masayuki Ohzeki and Kazuyuki Tanaka
    :Teacher-student learning for a binary perceptron with quantum fluctuations, Journal of the Physical Society of Japan 90, 074002(2021)

  2. Shunta Arai, Masayuki Ohzeki and Kazuyuki Tanaka
    :Mean field analysis of reverse annealing for code-division multiple-access multiuser detection, Phys. Rev. Research 3,033006 (2021)

  3. Shunta Arai, Masayuki Ohzeki and Kazuyuki Tanaka
    : Dynamics of Order Parameters of Non-stoquastic Hamiltonians in the Adaptive Quantum Monte Carlo Method, Phys. Rev. E 99, 032120 (2019)

  4. Shunta Arai, Masayuki Ohzeki and Kazuyuki Tanaka
    :Deep Neural Network Detects Quantum Phase Transition, Journal of the Physical Society of Japan 87, 033001 (2018)

Book

  1. Shunta Arai
    : Mean-field analysis of Sourlas codes with adiabatic reverse annealing, Sublinear Computation Paradigm, Springer Nature (2021)

  2. Anthony Coolen, Theodore Nikoletopoulos, Shunta Arai, and Kazuyuki Tanaka,
    :Dynamical analysis of quantum annealing, Sublinear Computation Paradigm, Springer Nature (2021)

International Conferences

  1. Shunta Arai, Masayuki Ohzeki and Kayuki Tanaka
    :Adiabatic reverse annealing does not overcome the hard phase in CDMA multiuser detection,
    Poster presentation, Adiabatic Quantum Computing Conference 2021
    (June 22, 2021,Tokyo Institute of Technology (online) )

  2. Shunta Arai, Masayuki Ohzeki and Kayuki Tanaka
    :Statistical mechanical analysis of reverse annealing for code-division multiple-access multiuser demodulator,
    Talk, Statistical Physics of Disordered Systems and Its Applications (SPDSA2019) --- Statistical-Mechanical Informatics and Statistical Machine Learning Theory in Big Data Sciences
    (October 27,2019,Hotel Sakan)

  3. Shunta Arai,Masayuki Ohzeki and Kazuyuki Tanaka
    :Mean-field analysis of quantum error-correcting codes with non-stoquastic Hamiltonian,
    Poster presentation, Adiabatic Quantum Computing Conference
    (June 24 – 28, 2019 , University of Innsbruck,Innrain 52, 6020 Innsbruck,Austria)
  4. Shunta Arai, Masayuki Ohzeki and Kayuki Tanaka
    :Dynamics of order parameters of non-stoquastic Hamiltonian in adaptive quantum Monte Carlo method,
    Talk, Statistical Physics of Disordered Systems and Its Applications (SPDSA2018) --- Statistical-Mechanical Informatics and Statistical Machine Learning Theory in Big Data Sciences
    (November 7,2018,Hotel Sakan)

  5. Shunta Arai,Masayuki Ohzeki and Kazuyuki Tanaka
    :Adaptive quantum Monte Carlo method for a class of non-stoquastic Hamiltonian by using D-Wave machine,
    Poster presentation, Qubits 2018 (September 24 – 27, 2018 , Tennessean Hotel, 531 Henley St,Knoxville, TN 370)

  6. Shunta Arai,Shuntaro Okada and Masayuki Ohzeki and Kazuyuki Tanaka
    :Acceleration of adaptive quantum Monte Carlo Sampling for a class of non-stoquastic Hamiltonian by using D-Wave 2000Q,
    Poster presentation, Adiabatic Quantum Computing Conference
    (June 25 – 28, 2018 , NASA Conference Center, Building 3 Moffett Field, CA 94035 )

  7. Shunta Arai,Masayuki Ohzeki and Kazuyuki Tanaka
    :Deep Neural Network detects quantum phase transition in D-Wave 2000Q,
    Talk, Adiabatic Quantum Computing Conference
    (June 25 – 28, 2018 , NASA Conference Center, Building 3 Moffett Field, CA 94035 )

  8. Shunta Arai, Masayuki Ohzeki and Kazuyuki Tanaka
    :Detection of quantum phase transition in D-Wave 2000Q by deep neural network,
    Poster presentation, Quantum Machine Learning & Biomimetic Quantum Technologies
    (March 19 – 23, 2018 , University of the Basque Country, Leioa, Spain)

  9. Shunta Arai, Masayuki Ohzeki, Shun Kataoka and Kazuyuki Tanaka
    :Detection of phase transition in transverse-field Ising model by neural network,
    Poster presentation, Adiabatic Quantum Computing Conference
    (June 27, 2017 ,GranTolyo South Tower, Tokyo, Japan)

Domestic Conferences

  1. Shunta Arai, Masayuki Ohzeki, Kazuyuki Tanaka<
    ：Learning of Ising perceptron with quantum fluctuations
    The Autumn Meeting of JPS(September, 2020, Kumamoto University)

  2. Shunta Arai, Masayuki Ohzeki, Kazuyuki Tanaka
    ：Probabilistic information processing with quantum fluctuations,
    The 2020 IEICE General Conference, Invited talk (March 17, 2020 Hiroshima University)

  3. Shunta Arai, Masayuki Ohzeki, Kazuyuki Tanaka
    ：Statistical mechanical analysis of CDMA multiuser detection with reverse annealing,
    The annual (75th) meeting Meeting of JPS,16aK43-6 (March 16, 2020 Nagoya University)

  4. Shunta Arai, Masayuki Ohzeki, Kazuyuki Tanaka
    ：Dynamics of Order Parameters of Non-stoquastic Hamiltonians by Using Master Equation,
    The annual (74th) meeting Meeting of JPS,15pG214-1 (March 15, 2019 Kyushu University)

  5. Shunta Arai,Masayuki Ohzeki and Kazuyuki Tanaka
    ：Numerical analysis of quantum phase transition in D-Wave 2000Q,
    The Autumn Meeting of JPS, 10aM203-6 (September 10, 2018, Doshisha University)

  6. Shunta Arai Masayuki Ohzeki and Kazuyuki Tanaka
    ：Neural Network Detects Various Phase Transitions,
    the CREST research meeting (March 28, 2018, hotel sansenkaku)

  7. Shunta Arai ,Masayuki Ohzeki, Shun Kataoka and Kazuyuki Tanaka
    ：Neural network detects various phase transitions,
    Winter Festa of Information Episode 3 (December 25, 2017, Hitotsubashi kodo)

  8. Shunta Arai ,Masayuki Ohzeki, Shun Kataoka and Kazuyuki Tanaka
    ：Neural network detects various phase transitions，
    The 20th Information-Based Induction Sciences Workshop(IBIS)
    (November 11, 2017, Tokyo Universtiy)

  9. Shunta Arai ,Masayuki Ohzeki, Shun Kataoka and Kazuyuki Tanaka
    ：Neural network detects various phase transitions,
    The Autumn Meeting of JPS, 22pK10-1 (September 2017,Iwate University)

Seminar

  1. Shunta Arai：Static and dynamical behavior of quantum annealing and its development,
    （2019年12月17日，King's College London）

  2. Shunta Arai:Deep Neural Network Detects Quantum Phase Transition
    （2018年3月10日 National Tsing Hua University）