Optimizing Randomized Benchmarking in Quantum Cloud Computing: Increasing Speed and Reliability with Conditional-Based Circuit Integration 


Vol. 15,  No. 2, pp. 75-84, Feb.  2026
https://doi.org/10.3745/TKIPS.2026.15.2.75


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  Abstract

Randomized benchmarking(RB), which evaluates the average error rate of quantum gates, is characterized by the need to run a large number of circuits repeatedly to obtain reliable results. However, on cloud-based quantum computing platforms, each circuit is submitted as an independent unit of work and scheduled in a first-in, first-out(FIFO) fashion, which lengthens the overall experiment time and weakens the temporal consistency of the measurement environment. To address these structural inefficiencies, this paper proposes an integrated execution approach that combines RB sequences into a single circuit and utilizes conditional branching to perform individual experiments within it. The proposed technique reduces the delay caused by queuing and provides more consistent experimental conditions by reducing the execution gap between sequences. In experiments on the IBM Quantum platform, the proposed method reduced the total execution time by approximately 71% compared to the conventional method. The proportion of pending queues decreased by about 65%. Additionally, the variability in execution time and waiting time was significantly reduced, improving the temporal stability of the experimental environment, which contributed to enhancing the reliability of measurement results by ensuring consistency in noise conditions.

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[IEEE Style]

C. N. Gyeong and H. Y. Sun, "Optimizing Randomized Benchmarking in Quantum Cloud Computing: Increasing Speed and Reliability with Conditional-Based Circuit Integration," The Transactions of the Korea Information Processing Society, vol. 15, no. 2, pp. 75-84, 2026. DOI: https://doi.org/10.3745/TKIPS.2026.15.2.75.

[ACM Style]

Choi Na Gyeong and Han Young Sun. 2026. Optimizing Randomized Benchmarking in Quantum Cloud Computing: Increasing Speed and Reliability with Conditional-Based Circuit Integration. The Transactions of the Korea Information Processing Society, 15, 2, (2026), 75-84. DOI: https://doi.org/10.3745/TKIPS.2026.15.2.75.

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