Literature DB >> 23004708

Quantum annealing with antiferromagnetic fluctuations.

Yuya Seki1, Hidetoshi Nishimori.   

Abstract

We introduce antiferromagnetic quantum fluctuations into quantum annealing in addition to the conventional transverse-field term. We apply this method to the infinite-range ferromagnetic p-spin model, for which the conventional quantum annealing has been shown to have difficulties in finding the ground state efficiently due to a first-order transition. We study the phase diagram of this system both analytically and numerically. Using the static approximation, we find that there exists a quantum path to reach the final ground state from the trivial initial state that avoids first-order transitions for intermediate values of p. We also study numerically the energy gap between the ground state and the first excited state and find evidence for intermediate values of p for which the time complexity scales polynomially with the system size at a second-order transition point along the quantum path that avoids first-order transitions. These results suggest that quantum annealing would be able to solve this problem with intermediate values of p efficiently, in contrast to the case with only simple transverse-field fluctuations.

Year:  2012        PMID: 23004708     DOI: 10.1103/PhysRevE.85.051112

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  3 in total

1.  Quantum Monte Carlo simulation of a particular class of non-stoquastic Hamiltonians in quantum annealing.

Authors:  Masayuki Ohzeki
Journal:  Sci Rep       Date:  2017-01-23       Impact factor: 4.379

2.  A 16-bit Coherent Ising Machine for One-Dimensional Ring and Cubic Graph Problems.

Authors:  Kenta Takata; Alireza Marandi; Ryan Hamerly; Yoshitaka Haribara; Daiki Maruo; Shuhei Tamate; Hiromasa Sakaguchi; Shoko Utsunomiya; Yoshihisa Yamamoto
Journal:  Sci Rep       Date:  2016-09-23       Impact factor: 4.379

3.  Optimization of neural networks via finite-value quantum fluctuations.

Authors:  Masayuki Ohzeki; Shuntaro Okada; Masayoshi Terabe; Shinichiro Taguchi
Journal:  Sci Rep       Date:  2018-07-02       Impact factor: 4.379

  3 in total

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