Literature DB >> 18999732

Size dependence of the minimum excitation gap in the quantum adiabatic algorithm.

A P Young1, S Knysh, V N Smelyanskiy.   

Abstract

We study the typical (median) value of the minimum gap in the quantum version of the exact cover problem using quantum Monte Carlo simulations, in order to understand the complexity of the quantum adiabatic algorithm for much larger sizes than before. For a range of sizes N< or =128, where the classical Davis-Putnam algorithm shows exponential median complexity, the quantum adiabatic algorithm shows polynomial median complexity. The bottleneck of the algorithm is an isolated avoided-crossing point of a Landau-Zener type (collision between the two lowest energy levels only).

Year:  2008        PMID: 18999732     DOI: 10.1103/PhysRevLett.101.170503

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


  4 in total

1.  Digital quantum simulation of the statistical mechanics of a frustrated magnet.

Authors:  Jingfu Zhang; Man-Hong Yung; Raymond Laflamme; Alán Aspuru-Guzik; Jonathan Baugh
Journal:  Nat Commun       Date:  2012-06-06       Impact factor: 14.919

2.  Anderson localization makes adiabatic quantum optimization fail.

Authors:  Boris Altshuler; Hari Krovi; Jérémie Roland
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-24       Impact factor: 11.205

Review 3.  Quantum machine learning: a classical perspective.

Authors:  Carlo Ciliberto; Mark Herbster; Alessandro Davide Ialongo; Massimiliano Pontil; Andrea Rocchetto; Simone Severini; Leonard Wossnig
Journal:  Proc Math Phys Eng Sci       Date:  2018-01-17       Impact factor: 2.704

4.  Many-body localization enables iterative quantum optimization.

Authors:  Hanteng Wang; Hsiu-Chung Yeh; Alex Kamenev
Journal:  Nat Commun       Date:  2022-09-20       Impact factor: 17.694

  4 in total

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