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.
*This material is based upon work supported by the Intelligence Advanced Research Projects Activity (IARPA) through the Army Research Office (ARO) Contract No. W911NF-17-C-0050. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Intelligence Advanced Research Projects Activity (IARPA) and the Army Research Office (ARO).
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Presenters
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Wade DeGottardi
- Northrop Grumman