Efficient Qubit Calibration by Binary-Search Hamiltonian Tracking
Fabrizio Berritta, Jacob Benestad, Lukas Pahl, Melvin Mathews, Jan A. Krzywda, R\'eouven Assouly, Youngkyu Sung, David K. Kim, Bethany M. Niedzielski, Kyle Serniak, Mollie E. Schwartz, Jonilyn L. Yoder, Anasua Chatterjee, Jeffrey A. Grover, Jeroen Danon, William D. Oliver

TL;DR
This paper introduces a real-time, adaptive binary-search-based protocol for calibrating qubit frequencies, significantly improving precision and stability by dynamically updating control parameters, with experimental validation on a transmon qubit.
Contribution
It presents a novel, efficient calibration method that uses adaptive binary search and real-time feedback, enhancing qubit stability and gate fidelity in quantum computing.
Findings
Achieved exponential scaling in calibration precision.
Improved qubit coherence and gate fidelity.
Partially mitigated non-Markovian noise with FPGA control.
Abstract
We present and experimentally implement a real-time protocol for calibrating the frequency of a resonantly driven qubit, achieving exponential scaling in calibration precision with the number of measurements, up to the limit imposed by decoherence. The real-time processing capabilities of a classical controller dynamically generate adaptive probing sequences for qubit-frequency estimation. Each probing evolution time and drive frequency are calculated to divide the prior probability distribution into two branches, following a locally optimal strategy that mimics a conventional binary search. The scheme does not require repeated measurements at the same setting, as it accounts for state preparation and measurement errors. Its use of a parametrized probability distribution favors numerical accuracy and computational speed. We show the efficacy of the algorithm by stabilizing a…
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