View in EDS

A Review of Quantum Computing Systems and Software.

Saved in:
Bibliographic Details
Title: A Review of Quantum Computing Systems and Software.
Authors: Yin, Jian-Wei1,2,3 (AUTHOR) zjuyjw@zju.edu.cn, Chen, Zi-Rong1,2,3 (AUTHOR) zirongchen@zju.edu.cn, Peng, Shun1,2,3 (AUTHOR) shunpeng@zju.edu.cn, Luo, Hao-Chen1,2,3 (AUTHOR) lhclbt@zju.edu.cn, Tao, Chen-Ning1,2,3 (AUTHOR) tcn@zju.edu.cn, Tan, Si-Wei1,2,3 (AUTHOR) siweitan@zju.edu.cn, Lu, Li-Qiang1,2,3 (AUTHOR) liqianglu@zju.edu.cn
Source: Journal of Computer Science & Technology (10009000). Jan2026, Vol. 41 Issue 1, p147-169. 23p.
Subjects: Quantum computing, Quantum computers, Fault tolerance (Engineering)
Abstract: Quantum computing is an emerging paradigm that leverages quantum mechanics to solve problems difficult for classical computing. Realizing reliable quantum advantage requires not only hardware, but also a full software stack ranging from algorithms to operating systems. This paper provides a structured review of quantum computing systems and software, examining the current state and future directions of the field. We first introduce the architectures of quantum computing using superconducting and neutral atom systems as examples. At the software level, we begin by analyzing potential quantum applications, including physical simulation, optimization, and artificial intelligence. We then review current quantum programming interfaces, including software development kits (SDKs), verification, and program repair methods. Following these interfaces, this review introduces quantum compilation passes for quantum programs, such as mapping, decomposition, and noise mitigation, that transform logical algorithms into efficient, hardware-executable instructions. At the system level, we explore quantum operating system services such as scheduling, calibration, and error correction, which directly control quantum devices. Then, we present quantitative comparisons of gate count, circuit depth, and execution latency across various software-level methods. Finally, we discuss major challenges of quantum hardware and software, including high error rates, low operation speeds, and limited scalability. By integrating research across these levels, this review provides a comprehensive overview of quantum systems and software architectures, and highlights the significance of co-design between hardware and software. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Computer Science & Technology (10009000) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 193284382
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Review of Quantum Computing Systems and Software.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Yin%2C+Jian-Wei%22">Yin, Jian-Wei</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> zjuyjw@zju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Zi-Rong%22">Chen, Zi-Rong</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> zirongchen@zju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Peng%2C+Shun%22">Peng, Shun</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> shunpeng@zju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Luo%2C+Hao-Chen%22">Luo, Hao-Chen</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> lhclbt@zju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Tao%2C+Chen-Ning%22">Tao, Chen-Ning</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> tcn@zju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Tan%2C+Si-Wei%22">Tan, Si-Wei</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> siweitan@zju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Lu%2C+Li-Qiang%22">Lu, Li-Qiang</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> liqianglu@zju.edu.cn</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computer+Science+%26+Technology+%2810009000%29%22">Journal of Computer Science & Technology (10009000)</searchLink>. Jan2026, Vol. 41 Issue 1, p147-169. 23p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Quantum+computing%22">Quantum computing</searchLink><br /><searchLink fieldCode="DE" term="%22Quantum+computers%22">Quantum computers</searchLink><br /><searchLink fieldCode="DE" term="%22Fault+tolerance+%28Engineering%29%22">Fault tolerance (Engineering)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Quantum computing is an emerging paradigm that leverages quantum mechanics to solve problems difficult for classical computing. Realizing reliable quantum advantage requires not only hardware, but also a full software stack ranging from algorithms to operating systems. This paper provides a structured review of quantum computing systems and software, examining the current state and future directions of the field. We first introduce the architectures of quantum computing using superconducting and neutral atom systems as examples. At the software level, we begin by analyzing potential quantum applications, including physical simulation, optimization, and artificial intelligence. We then review current quantum programming interfaces, including software development kits (SDKs), verification, and program repair methods. Following these interfaces, this review introduces quantum compilation passes for quantum programs, such as mapping, decomposition, and noise mitigation, that transform logical algorithms into efficient, hardware-executable instructions. At the system level, we explore quantum operating system services such as scheduling, calibration, and error correction, which directly control quantum devices. Then, we present quantitative comparisons of gate count, circuit depth, and execution latency across various software-level methods. Finally, we discuss major challenges of quantum hardware and software, including high error rates, low operation speeds, and limited scalability. By integrating research across these levels, this review provides a comprehensive overview of quantum systems and software architectures, and highlights the significance of co-design between hardware and software. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Computer Science & Technology (10009000) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=193284382
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11390-025-5953-3
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 23
        StartPage: 147
    Subjects:
      – SubjectFull: Quantum computing
        Type: general
      – SubjectFull: Quantum computers
        Type: general
      – SubjectFull: Fault tolerance (Engineering)
        Type: general
    Titles:
      – TitleFull: A Review of Quantum Computing Systems and Software.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Yin, Jian-Wei
      – PersonEntity:
          Name:
            NameFull: Chen, Zi-Rong
      – PersonEntity:
          Name:
            NameFull: Peng, Shun
      – PersonEntity:
          Name:
            NameFull: Luo, Hao-Chen
      – PersonEntity:
          Name:
            NameFull: Tao, Chen-Ning
      – PersonEntity:
          Name:
            NameFull: Tan, Si-Wei
      – PersonEntity:
          Name:
            NameFull: Lu, Li-Qiang
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 10009000
          Numbering:
            – Type: volume
              Value: 41
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Journal of Computer Science & Technology (10009000)
              Type: main
ResultId 1