Perspectives of quantum annealing: methods and implementations
University of Trento · Heidelberg University · +9 more institutions
Abstract
Quantum annealing is a computing paradigm that has the ambitious goal of efficiently solving large-scale combinatorial optimization problems of practical importance. However, many challenges have yet to be overcome before this goal can be reached. This perspectives article first gives a brief introduction to the concept of quantum annealing, and then highlights new pathways that may clear the way towards feasible and large scale quantum annealing. Moreover, since this field of research is to a strong degree driven by a synergy between experiment and theory, we discuss both in this work. An important focus in this article is on future perspectives, which complements other review articles, and which we hope will…
Citation impact
- FWCI
- 33.57
- Percentile
- 100%
- References
- 250
Authors
5- PHPhilipp HaukeCorresponding
University of Trento, Heidelberg University, Kirchhoff (Germany), Heidelberg Institute for Theoretical Studies
- HGHelmut G. Katzgraber
Microsoft (United States)
- WLWolfgang Lechner
Austrian Academy of Sciences, Universität Innsbruck
- HNHidetoshi Nishimori
Tokyo Institute of Technology, Tohoku University
- WDWilliam D. Oliver
MIT Lincoln Laboratory, Massachusetts Institute of Technology
Topics & keywords
- Quantum annealing
- Physics
- Quantum
- Implementation
- Simulated annealing
- Management science
- Quantum computer
- Theoretical physics
Funding
- DFDeutsche Forschungsgemeinschaft
- ASAustrian Science FundAwards: SFB BeyondC Project No. F7108-N38, START grant Project No. Y1067-N27
- IAIntelligence Advanced Research Projects Activity
- HEH2020 European Research CouncilAwards: AdG EntangleGen (Project ID: 694561), StG StrEnQTh (Project ID: 804305), AdG EntangleGen (Project ID: 694561