Autonomous Hamiltonian certification and changepoint detection
arXiv QuantumArchived Mar 30, 2026✓ Full text saved
arXiv:2603.26655v1 Announce Type: new Abstract: Modern quantum devices require high-precision Hamiltonian dynamics, but environmental noise can cause calibrated Hamiltonian parameters to drift over time, necessitating expensive recalibration. Detecting when recalibration is needed is challenging, especially since the very gates required for sophisticated verification protocols may themselves be miscalibrated. While cloud quantum computing services implement heuristic routines for triggering reca
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✦ AI Summary· Claude Sonnet
Quantum Physics
[Submitted on 27 Mar 2026]
Autonomous Hamiltonian certification and changepoint detection
Steven T. Flammia, Dmitrii Khitrin, Muzhou Ma, Jamie Sikora, Yu Tong, Alice Zheng
Modern quantum devices require high-precision Hamiltonian dynamics, but environmental noise can cause calibrated Hamiltonian parameters to drift over time, necessitating expensive recalibration. Detecting when recalibration is needed is challenging, especially since the very gates required for sophisticated verification protocols may themselves be miscalibrated. While cloud quantum computing services implement heuristic routines for triggering recalibration, the fundamental limits of optimal recalibration are not yet known. We develop efficient Hamiltonian certification and changepoint detection protocols in the autonomous setting, where we cannot rely on an external noiseless device and use only single-qubit gates and measurements, making the protocols robust to the calibration issues for multi-qubit operations they aim to detect. For unknown n-qubit Hamiltonians H and H_0 with operator norm bounded by M, our certification protocol distinguishes whether \|H-H_0\|_F\geq\epsilon or \|H-H_0\|_F\leq O(\epsilon/\sqrt{n}) with sample complexity O(nM^2\ln(1/\delta)/\epsilon^2) and total evolution time O(nM\ln(1/\delta)/\epsilon^2). We achieve this by evolving random stabilizer product states and performing adaptive single-qubit measurements based on a classically simulable hypothesis state. Extending this to continuous monitoring, we develop an online changepoint detection algorithm using the CUSUM procedure that achieves a detection delay time bound of O(nM\ln(M\mathbb{E}_\infty[T])/\epsilon^2), matching the known asymptotically optimal scaling with respect to false alarm run time \mathbb{E}_\infty[T]. Our approach enables quantum devices to autonomously monitor their own calibration status without requiring ancillary systems, entangling operations, or a trusted reference device, offering a practical solution for robust quantum computing with contemporary noisy devices.
Comments: 26 pages, 4 figures. Comments welcome
Subjects: Quantum Physics (quant-ph)
Cite as: arXiv:2603.26655 [quant-ph]
(or arXiv:2603.26655v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2603.26655
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From: Alice Zheng [view email]
[v1] Fri, 27 Mar 2026 17:54:45 UTC (510 KB)
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