Literature DB >> 23006152

Quantum speedup by quantum annealing.

Rolando D Somma1, Daniel Nagaj, Mária Kieferová.   

Abstract

We study the glued-trees problem from A. M. Childs, R. Cleve, E. Deotto, E. Farhi, S. Gutmann, and D. Spielman, in Proceedings of the 35th Annual ACM Symposium on Theory of Computing (ACM, San Diego, CA, 2003), p. 59. in the adiabatic model of quantum computing and provide an annealing schedule to solve an oracular problem exponentially faster than classically possible. The Hamiltonians involved in the quantum annealing do not suffer from the so-called sign problem. Unlike the typical scenario, our schedule is efficient even though the minimum energy gap of the Hamiltonians is exponentially small in the problem size. We discuss generalizations based on initial-state randomization to avoid some slowdowns in adiabatic quantum computing due to small gaps.

Year:  2012        PMID: 23006152     DOI: 10.1103/PhysRevLett.109.050501

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  4 in total

1.  Solving Set Cover with Pairs Problem using Quantum Annealing.

Authors:  Yudong Cao; Shuxian Jiang; Debbie Perouli; Sabre Kais
Journal:  Sci Rep       Date:  2016-09-27       Impact factor: 4.379

2.  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

3.  Assessment of image generation by quantum annealer.

Authors:  Takehito Sato; Masayuki Ohzeki; Kazuyuki Tanaka
Journal:  Sci Rep       Date:  2021-06-29       Impact factor: 4.379

4.  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

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.