Skip to content
OpenTrain AIFor AI Companies

Quantum error mitigation

Zhenyu Cai, Ryan Babbush, Simon C. Benjamin, Suguru Endo, William J. Huggins +3 morePublished Dec 13, 2023
DOI Publisher
Researcher verdict
Context only
Use as context only
Benchmark evidence
Missing
Not verified yet
Time to first repro
A few days
Plan setup time
Risk flags
1
Review before use

Abstract

Domain fit: AI-adjacent · Paper appears method- or tooling-adjacent to AI workflows with partial ecosystem coverage.

In most of physics it is normal to obtain information by analysis of noisy data. The paradigm of quantum computing has been a simplified version of this -- one measurement of a two-level system gives one bit of reliable information about the result of a computation. But real-world quantum computers do not work this way: the noisiness of quantum evolution also requires good strategies for extracting information. This review covers many error-mitigation strategies used in present-day quantum processors. These strategies make it much more feasible to obtain useful results before fault tolerance is achieved.

Results and benchmarks

Freshness tier: cold
In most of physics it is normal to obtain information by analysis of noisy data.

Implementation

No direct implementation yet

Maintained implementation evidence is not confirmed for this paper yet.

Use the implementation status and reproduction sections for the current action plan.

Implementation evidence summary
Confidence: low

unitaryfoundation/mitiq is the closest maintained adjacent implementation (Matches contextual method/domain keyword: quantum computer). It is not paper-verified; validate algorithm and evaluation setup against the paper before trusting reported metrics. Community adoption signal: 442 GitHub stars.

Reproduction risks
  • Adjacent implementations are not paper-verified
  • Recommended repository is adjacent and not paper-verified.
  • Adjacent implementation match confidence is low.

Reproduction readiness

Time to first repro: days
Last checked: Aug 24, 2026

No repo

No verified implementation available

  • No maintained repository has been identified for this paper. Check adjacent implementations or HF artifacts below.

Hardware requirements

  • Expect multi-day setup/compute for meaningful reproduction based on current guidance.

Repositories and ecosystem

Closest related implementations

These are not paper-verified. Use them as reference points when no direct implementation is available.

  • unitaryfoundation/mitiq Adjacent · Confidence: Low · 442 stars

    Matches contextual method/domain keyword: quantum computer

  • btyll/GTranQEM Adjacent · Confidence: Low · 66 stars

    Matches contextual method/domain keyword: quantum

  • Quantinuum/Qermit Adjacent · Confidence: Low · 49 stars

    Matches contextual method/domain keyword: quantum

No additional verified repositories beyond the primary recommendation.

Hugging Face artifacts

No trustworthy direct or curated related Hugging Face artifacts were found yet. Use targeted searches to quickly locate candidate models, datasets, and demos.

Tip: start with models, then check datasets and spaces if you need evaluation data or demos.

Research context

585

Citations

253

References

Tasks

Quantum computer, Quantum, Quantum error correction, Quantum information, Computation, Fault tolerance, Computer engineering, Computer science

Methods

Quantum algorithm, Algorithm

Domains

Physics, Work (physics), Artificial Intelligence

Evaluation and human feedback data

Open this paper in HFEPX to review benchmark signals, evaluation modes, and human-feedback protocol context.

Open in HFEPX
Explore similar papers

Jump to Paper2Code search queries derived from this paper's research context.