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.
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Presenters
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Wade DeGottardi
Northrop Grumman
Authors
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Wade DeGottardi
Northrop Grumman
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David Ferguson
Northrop Grumman, Northrop Grumman - Mission Systems, Northrop Grumman Corporation
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Sergey Novikov
Northrop Grumman, Northrop Grumman - Mission Systems, Northrop Grumman Corporation - Mission Systems
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Huo Chen
University of Southern California
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Daniel A Lidar
University of Southern California, Univ of Southern California