Finite temperature quantum annealing solving exponentially small gap problem with non monotonic success probability

Abstract

Closed-system quantum annealing is expected to sometimes fail spectacularly in solving simple problems for which the gap becomes exponentially small in the problem size. Much less is known about whether this gap scaling also impedes open-system quantum annealing. Here, we study the performance of a quantum annealing processor in solving such a problem: a ferromagnetic chain with sectors of alternating coupling strength that is classically trivial but exhibits an exponentially decreasing gap in the sector size. The gap is several orders of magnitude smaller than the device temperature. Contrary to the closed-system expectation, the success probability rises for sufficiently large sector sizes. The success probability is strongly correlated with the number of thermally accessible excited states at the critical point. We demonstrate that this behavior is consistent with a quantum open-system description that is unrelated to thermal relaxation, and is instead dominated by the systems properties at the critical point.

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Document Details

Document Type
Technical Report
Publication Date
Jul 25, 2018
Accession Number
AD1092065

Entities

People

  • Anurag Mishra
  • Daniel A. Lidar
  • Tameem Albash

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computations
  • Domain Walls
  • Energy Gaps
  • Energy Levels
  • Equations
  • Failure Mode And Effect Analysis
  • Ground State
  • Information Science
  • Intelligence Community (United States)
  • Materials
  • Phase Transformations
  • Quantum Computers
  • Quantum Computing
  • Quantum Information
  • Quantum Information Science
  • Simulations

Readers

  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.
  • Regression Analysis.
  • Thermal Physics or Thermal Science.

Technology Areas

  • Quantum Computing