Assessing the Quantum in Quantum Annealing

ORAL

Abstract

Annealing is a general purpose computational strategy which endeavors to harness fluctuations to solve sampling problems. A drawback of this approach is that it is difficult to program an annealer to sample from a user specified distribution. Quantum annealing (QA) utilizes quantum effects to drive fluctuations and thus can potentially sample from specific distributions with an algorithmic speedup. A crucial element of understanding QA is to clearly delineate fluctuations that arise from quantum effects from those that arise from non-quantum effects such as thermal fluctuations. Our approach to this problem utilizes the theory of quantum distributions on phase space and focuses on the specific non-linear dynamics that arise in Josephson junction circuits. By comparing quantum and classical dynamics, we are able to pinpoint the role that quantum effects play.

Presenters

  • Wade DeGottardi

    Northrop Grumman

Authors

  • Wade DeGottardi

    Northrop Grumman

  • David Ferguson

    Northrop Grumman, Northrop Grumman - Mission Systems, Northrop Grumman Corporation

  • Sergey Novikov

    Northrop Grumman, Northrop Grumman - Mission Systems, Northrop Grumman Corporation - Mission Systems

  • Huo Chen

    University of Southern California

  • Daniel A Lidar

    University of Southern California, Univ of Southern California