Perspectives of quantum annealing: methods and implementations
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 introd...
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| Published in | Reports on progress in physics Vol. 83; no. 5; pp. 54401 - 54420 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
England
IOP Publishing
01.05.2020
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0034-4885 1361-6633 1361-6633 |
| DOI | 10.1088/1361-6633/ab85b8 |
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| 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 motivate further research. |
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| AbstractList | 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. 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.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. |
| Author | Hauke, Philipp Nishimori, Hidetoshi Katzgraber, Helmut G Oliver, William D Lechner, Wolfgang |
| Author_xml | – sequence: 1 givenname: Philipp orcidid: 0000-0002-0414-1754 surname: Hauke fullname: Hauke, Philipp organization: Heidelberg University Institute for Theoretical Physics, 69120 Heidelberg, Germany – sequence: 2 givenname: Helmut G orcidid: 0000-0003-3341-9943 surname: Katzgraber fullname: Katzgraber, Helmut G organization: Microsoft Corporation Microsoft Quantum, Redmond, WA 98052, United States of America – sequence: 3 givenname: Wolfgang orcidid: 0000-0003-3662-1020 surname: Lechner fullname: Lechner, Wolfgang email: Wolfgang.Lechner@uibk.ac.at organization: Institute for Quantum Optics and Quantum Information , Austrian Academy of Sciences, 6020 Innsbruck, Austria – sequence: 4 givenname: Hidetoshi surname: Nishimori fullname: Nishimori, Hidetoshi organization: Tohoku University Graduate School of Information Sciences, Sendai 980-8579, Japan – sequence: 5 givenname: William D orcidid: 0000-0001-8041-0824 surname: Oliver fullname: Oliver, William D organization: MIT Lincoln Laboratory , 244 Wood Street, Lexington, Massachusetts 02420, United States of America |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32235066$$D View this record in MEDLINE/PubMed |
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| Snippet | Quantum annealing is a computing paradigm that has the ambitious goal of efficiently solving large-scale combinatorial optimization problems of practical... |
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| Title | Perspectives of quantum annealing: methods and implementations |
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