Cited by 26Quantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum many-body systems

Quantum error mitigation by Pauli check sandwiching

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Gonzales, Alvin, Shaydulin, Ruslan, Saleem, Zain H., Suchara, Martin·2023·Scientific Reports

Abstract

We describe and analyze an error mitigation technique that uses multiple pairs of parity checks to detect the presence of errors. Each pair of checks uses one ancilla qubit to detect a component of the error operator and represents one layer of the technique. We build on the results on extended flag gadgets and put it on a firm theoretical foundation. We prove that this technique can recover the noiseless state under the assumption of noise not affecting the checks. The method does not incur any encoding overhead and instead chooses the checks based on the input circuit. We provide an algorithm for obtaining such checks for an arbitrary target circuit. Since the method applies to any circuit and input state, it can be easily combined with other error mitigation techniques. We evaluate the performance of the proposed methods using extensive numerical simulations on 1850 random input circuits composed of Clifford gates and non-Clifford single-qubit rotations, a class of circuits encompassing most commonly considered variational algorithm circuits. We observe average improvements in fidelity of 34 percentage points with six layers of checks.

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  • Our error detection scheme leads to large improvements in QAOA performance on hardware at the cost of the number of repetitions growing exponentially with the number of checks.

    “As a result, our error detection scheme leads to large improvements in QAOA performance on hardware at the cost of the number of repetitions growing exponentially with the number of checks (28).”

    From Evidence of scaling advantage for the quantum approximate optimization algorithm on a classically intractable problem (2024) · cites this paper as [28]

    The Introduction and Methods > Numerical results (pages unavailable) report large fidelity gains in simulations of random circuits that encompass a class of QAOA circuits, alongside lower postselection probabilities. They do not report improved QAOA performance on hardware or establish that the required repetitions grow exponentially with the number of checks. (LLM, conf=0.88)

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References 35 · Cited by 26

Research works printed but not linked: 1

  1. [3]Kitaev AY Quantum Error Correction with Imperfect Gates 1997 Springer US 181 188

Authors
Gonzales, A., Shaydulin, R., Saleem, Z. H., & Suchara, M.
Affiliations
  • Argonne National Laboratory (US)
  • JPMorgan Chase & Co (United States) (US)
Corresponding author
Gonzales, Alvin
Venue
Scientific Reports
Published
2023-02-06
Volume
13
Issue
1
Pages
2122-2122
ISSN
2045-2322 (ISSN-L)
OpenAlex
W4281800311
Cited by
26
References
35
Citations by year
2026: 3 · 2025: 9 · 2024: 7 · 2023: 6 · 2017: 1
FWCI
2.36
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • Research Square (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
  • arXiv (Cornell University)
Funders
  • Intelligence Community Postdoctoral Research Fellowship Program
  • Argonne National Laboratory (DE-AC02-06CH11357)
  • Q-NEXT
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum many-body systems
Keywords
quantum error mitigation, parity check, ancilla qubits, Clifford circuits, variational quantum algorithms, single-qubit rotations, quantum circuit fidelity

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