4.7 Review

Perspectives of quantum annealing: methods and implementations

期刊

REPORTS ON PROGRESS IN PHYSICS
卷 83, 期 5, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/1361-6633/ab85b8

关键词

review; quantum annealing; adiabatic quantum optimization

资金

  1. DFG Collaborative Research Centre [SFB 1225]
  2. ERC Advanced Grant EntangleGen
  3. ERC Starting Grant StrEnQTh
  4. Provincia Autonoma di Trento
  5. Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via MIT Lincoln Laboratory Air Force [FA8721-05-C-0002]
  6. Austrian Science Fund (FWF) through a START grant [Y1067-N27]
  7. Austrian Science Fund (FWF) through SFB BeyondC Project [F7108-N38]
  8. Hauser-Raspe foundation
  9. European Union's Horizon 2020 research and innovation program [817482]
  10. Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via the US Army Research Office [W911NF-17-C-0050]

向作者/读者索取更多资源

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 motivate further research.

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