View a PDF of the paper titled Benchmarking Quantum Computer systems by way of Protocols, Evaluating Superconducting and Ion-Entice Quantum Know-how, by Nitay Mayo and 1 different authors
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Summary:Each Superconducting and Ion-Entice are main quantum architectures widespread within the present panorama of the quantum computing discipline, every with distinct traits and operational constraints. Understanding and measuring the underlying underline{quantumness} of those units is crucial for assessing their readiness for sensible purposes and guiding future progress and analysis. Constructing on earlier work (Meirom, Mor and Weinstein Arxiv 2505.12441), we make the most of a benchmarking technique relevant for evaluating these two architectures by measuring “quantumness” instantly on optimum sub-chips. Distinct from current metrics, our strategy employs rigorous binary constancy thresholds derived from the classical limits of state switch. This permits us to definitively set up quantum benefit of a chosen sub-region. Right here we apply this high quality assurance methodology to platforms from each applied sciences. This comparability supplies a protocol-based analysis of quantumness benefit, revealing not solely the strengths and weaknesses of every examined chip and its sub-chips but in addition providing a typical language for his or her evaluation. By abstracting away technical variations within the ultimate consequence, we reveal a benchmarking technique that bridges the hole between disparate quantum-circuit applied sciences, enabling truthful efficiency comparisons and establishing a vital basis for evaluating future claims of quantum benefit. This work was made potential by insurance policies of two firms who allow unbiased and goal evaluation on their quantum computer systems and sub-chips. Within the identify of science, we encourage different firms to emulate the unbiased qubit availability and the truthful pricing which permit researchers to preform such assessments.
Submission historical past
From: Nitay Mayo [view email] [v1]
Sat, 28 Mar 2026 20:29:23 UTC (7,296 KB)
[v2]
Thu, 23 Apr 2026 06:10:23 UTC (7,466 KB)
[v3]
Wed, 3 Jun 2026 17:40:39 UTC (7,466 KB)
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