Physics-informed tracking of qubit fluctuations
Physical Review Applied, vol. 22
Abstract
Environmental fluctuations degrade the performance of solid-state qubits but can in principle be mitigated by real-time Hamiltonian estimation down to timescales set by the estimation efficiency. We implement a physics-informed and an adaptive Bayesian estimation strategy and apply them in real time to a semiconductor spin qubit. The physics-informed strategy propagates a probability distribution inside the quantum controller according to the Fokker-Planck equation, appropriate for describing the effects of nuclear spin diffusion in gallium arsenide. Evaluating and narrowing the anticipated distribution by a predetermined qubit probe sequence enables improved dynamical tracking of the uncontrolled magnetic field gradient within the singlet-triplet qubit. The adaptive strategy replaces the probe sequence by a small number of qubit probe cycles, with each probe time conditioned on the previous measurement outcomes, thereby further increasing the estimation efficiency. The combined real-time estimation strategy efficiently tracks low-frequency nuclear spin fluctuations in solid-state qubits, and can be applied to other qubit platforms by tailoring the appropriate update equation to capture their distinct noise sources. Published by the American Physical Society 2024
Authors 11
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Affiliation as printed
Niels Bohr Institute
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Jan A. Krzywda Aachen
Affiliation as printed
Leiden University
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Norwegian University of Science and Technology
Affiliation as printed
Norwegian University of Science and Technology
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Affiliation as printed
QDevil, Quantum Machines
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Affiliation as printed
Niels Bohr Institute
University of Oxford
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Purdue University West Lafayette
Affiliation as printed
Purdue University, West Lafayette
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Purdue University West Lafayette
Affiliation as printed
Purdue University, West Lafayette
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Evert van Nieuwenburg Aachen
Affiliation as printed
Leiden University
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Norwegian University of Science and Technology
Affiliation as printed
Norwegian University of Science and Technology
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Affiliation as printed
Niels Bohr Institute
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Affiliation as printed
Niels Bohr Institute
QDevil, Quantum Machines
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