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A Review and Collection of Metrics and Benchmarks for Quantum Computers: definitions, methodologies and software

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arxiv 2502.06717 v1 pith:EIFLRHCA submitted 2025-02-10 quant-ph

classification quant-ph
keywords metricsquantumcomputersagreementareasbenchmarkbenchmarkshardware
verification ladder T0 review T1 audit T2 compute T3 formal
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Quantum computers have the potential to provide an advantage over classical computers in a number of areas. Numerous metrics to benchmark the performance of quantum computers, ranging from their individual hardware components to entire applications, have been proposed over the years. Navigating the resulting extensive literature can be overwhelming. Objective comparisons are further hampered in practice as different variations of the same metric are used, and the data disclosed together with a reported metric value is often not sufficient to reproduce the measurements. This article addresses these challenges by providing a review of metrics and benchmarks for quantum computers and 1) a comprehensive collection of benchmarks allowing holistic comparisons of quantum computers, 2) a consistent format of the definitions across all metrics including a transparent description of the methodology and of the main assumptions and limitations, and 3) a reproducible approach by linking the metrics to open-source software used to evaluate them. We identify five areas where international standardization working groups could be established, namely: i) the identification and agreement on the categories of metrics that comprehensively benchmark device performance; ii) the identification and agreement on a set of well-established metrics that together comprehensively benchmark performance; iii) the identification of metrics specific to hardware platforms, including non-gate-based quantum computers; iv) inter-laboratory comparison studies to develop best practice guides for measurement methodology; and v) agreement on what data and software should be reported together with a metric value to ensure trust, transparency and reproducibility. We provide potential routes to advancing these areas. We expect this compendium to accelerate the progress of quantum computing hardware towards quantum advantage.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Fast-tracking and disentangling of qubit noise fluctuations using minimal-data averaging and hierarchical discrete fluctuation auto-segmentation

    quant-ph 2025-05 conditional novelty 8.0 of 10

    A new hierarchical segmentation algorithm disentangles concurrent discrete frequency fluctuations in transmons, tracking them at tens of milliseconds resolution and attributing them to charge parity switching and a ch...

  2. Practical Insights into Fair Comparison and Evaluation Frame for Neutral-Atom Compilers

    cs.ET 2026-04 unverdicted novelty 7.0 of 10

    Under a unified evaluation framework, the 415.8x DasAtom-over-Enola QFT30 gap reported in prior work becomes 8.1x (radius 6) or 4.86x (radius 2), and 3.26x after collapsing RSQASM-redundant Enola movements.

  3. Clifford Volume and Free Fermion Volume: Complementary Scalable Benchmarks for Quantum Computers

    quant-ph 2025-12 conditional novelty 6.0 of 10

    Two new classically verifiable benchmark scores, Clifford Volume and Free Fermion Volume, are defined, simulated under noise, and Clifford Volume is measured on the Quantinuum H2-1 device as 34 qubits.

  4. Quantum Computer Benchmarking: An Explorative Systematic Literature Review

    quant-ph 2025-09 conditional novelty 6.0 of 10

    A systematic review of 329 quantum benchmarking studies yields a stack-aligned taxonomy and definitions for hardware-, software-, and application-focused benchmarks.

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