Cited by 3Quantum Computing Algorithms and ArchitectureQuantum many-body systemsQuantum Information and Cryptography

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Equivalence checking of quantum circuits via intermediary matrix product operator

Open access
Sander, Aaron, Burgholzer, Lukas, Wille, Robert·2025·Physical Review Research

Published version of a preprint

Abstract

As quantum computing advances, the complexity of quantum circuits is rapidly increasing, driving the need for robust methods to aid in their design. Equivalence checking plays a vital role in identifying errors that may arise during compilation and optimization of these circuits and is a critical step in quantum circuit verification. In this work, we introduce a method based on matrix product operators (MPOs) for determining the equivalence of quantum circuits. Our approach contracts tensorized quantum gates from two circuits into an intermediary MPO, exploiting their reversibility to determine their equivalence or nonequivalence. Our results show that this method offers significant scalability improvements over existing methods, with polynomial scaling in circuit width and depth for the practical use cases we explore. We expect that this work to set a standard for scalable equivalence checking of quantum circuits and will become a crucial tool for the validation of increasingly complex quantum systems.

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Research works printed but not linked: 37

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Metadata

Authors
Sander, A., Burgholzer, L., & Wille, R.
Affiliations
  • Technical University of Munich (DE)
  • Software Competence Center Hagenberg (Austria) (AT)
Venue
Physical Review Research
Published
2025-06-13
Volume
7
Issue
2
ISSN
2643-1564 (ISSN-L)
OpenAlex
W4403573081
Cited by
3
References
2
Citations by year
2026: 1 · 2025: 2
FWCI
1.21
Type
journal article
Language
en
Open access
Locations
  • Physical Review Research (publishedVersion, cc-by)
  • arXiv (Cornell University) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • arXiv (Cornell University)
Funders
  • Horizon 2020 (101001318)
  • Bundesministerium für Wirtschaft und Klimaschutz
  • Bundesministerium für Digitalisierung und Wirtschaftsstandort
  • Österreichische Forschungsförderungsgesellschaft
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum many-body systems
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Information and Cryptography
Keywords
matrix product operators, quantum circuit verification, tensor network contraction, quantum circuit compilation, quantum circuit optimization, scalability

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