When a local Hamiltonian must be frustration-free

Abstract

Quantum computers promise computational power qualitatively superior to that achievable classically. This power will not be unlimited: Beyond much-touted applications, such as breaking encryption schemes, entire classes of problems are known to be intractable even for quantum computers. This work addresses a question of great practical relevance: In between these two extremes of certain (in)tractability, how can one efficiently diagnose the nature and properties of a given problem instance? To achieve this, we adopt a strategy of transferring insights from statistical physics and classical computing into the quantum realm. This provides a new perspective on the complexity of quantum problems and allows us to analyze a canonical class of quantum optimization problems in unprecedented explicit detail.

Document Details

Document Type
Pub Defense Publication
Publication Date
May 19, 2016
Source ID
10.1073/pnas.1519833113

Entities

People

  • Chris R. Laumann
  • Or Sattath
  • Roderich Moessner
  • Siddhardh C. Morampudi

Organizations

  • Army Research Office
  • German Research Foundation
  • National Science Foundation
  • University of Washington

Tags

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.
  • Systems Analysis and Design

Technology Areas

  • Quantum Computing