[2607.28572] Quantum Fidelity-per-Cost: A Metric for Evaluation of Quantum Computing Systems

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Quantum Physics

arXiv:2607.28572 (quant-ph)

[Submitted on 30 Jul 2026]

Title:Quantum Fidelity-per-Cost: A Metric for Evaluation of Quantum Computing Systems

Authors:Siddarth Shinde, Jakub Szefer<br>View a PDF of the paper titled Quantum Fidelity-per-Cost: A Metric for Evaluation of Quantum Computing Systems, by Siddarth Shinde and 1 other authors

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Abstract:Cloud-accessible quantum computing has made hardware comparison not only a physics benchmark but also a practical purchasing decision. Cost-aware comparison of quantum computers remains underexplored and is difficult to do under the heterogeneous billing models offered by various cloud-based quantum computing providers. This paper makes two main contributions to enable price-aware comparison of quantum computers. First, this work presents a cross-provider measurement study of quantum circuit execution fidelity spanning 14 cloud QPU access-path entries (12 distinct physical QPUs) across four cloud access paths: Amazon Web Services (AWS) cloud, IBM Quantum Runtime (IBM) cloud, IQM Resonance (IQM) cloud, and Oxford Quantum Circuits (OQC) cloud. Second, this work proposes and analyzes a cost-aware score, Quantum Fidelity-per-Cost (QFC), which combines Kullback--Leibler (KL) divergence from an ideal output distribution, shot count, and monetary cost into one possible metric under a documented billing model. The main empirical observation from this work is that cost-aware ranking can differ from purely fidelity-based evaluation of quantum computers, and that users may select different quantum computing backends when they consider price in their selection, as opposed to selection based on fidelity alone. This work shows that the ranking is stable under reweighting of the metric, and that a device's billing model, not its hardware, governs how its score scales with shot count. Reported QFC values change as new machines come online or as providers revise their prices.

Comments:<br>7 pages, 4 figures, 3 tables. Accepted at IEEE International Conference on Quantum Computing and Engineering (QCE) 2026

Subjects:

Quantum Physics (quant-ph); Emerging Technologies (cs.ET); Performance (cs.PF)

Cite as:<br>arXiv:2607.28572 [quant-ph]

(or<br>arXiv:2607.28572v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2607.28572

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arXiv-issued DOI via DataCite (pending registration)

Submission history<br>From: Siddarth Shinde [view email]<br>[v1]<br>Thu, 30 Jul 2026 17:36:23 UTC (145 KB)

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