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arxiv: 2412.05230 · v1 · pith:7IAAWDZWnew · submitted 2024-12-06 · 🪐 quant-ph

Dimensionality reduction for closed-loop quantum gate calibration

classification 🪐 quant-ph
keywords gatecalibrationhigh-dimensionalcontroldesigndimensionalityerrorsexperimental
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Numerical gate design typically makes use of high-dimensional parameterizations enabling sophisticated, highly expressive control pulses. Developing efficient experimental calibration methods for such gates is a long-standing challenge in quantum control, as on-device calibration requires the optimization of noisy experimental data over high-dimensional parameter spaces. To improve the efficiency of calibrations, we present a systematic method for reducing the dimensionality of the parameter space traversed in gate calibration, starting from an arbitrary high-dimensional pulse representation. We use this approach to design and calibrate an $X_{\pi/2}$ gate robust against amplitude and detuning errors, as well as an $X_{\pi/2}$ gate robust against coherent errors due to a spectator qubit.

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Cited by 1 Pith paper

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

  1. High-fidelity neutral atom gates leveraging low-rank Hessian optimization

    quant-ph 2026-06 unverdicted novelty 7.0

    Low-rank Hessian optimization enables rapid closed-loop calibration of optimal-control gates, demonstrated on an amplitude-robust CZ gate on 171Yb qubits reaching 0.99902(7) fidelity after postselection.