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Physics-informed Tracking of Qubit Fluctuations by Berritta, Fabrizio; Krzywda, Jan A.; Benestad, Jacob; van der Heijden, Joost; Fedele, Federico; Fallahi, Saeed; Gardner, Geoffrey C.; Manfra, Michael J.; van Nieuwenburg, Evert; Danon, Jeroen; Chatterjee, Anasua; Kuemmeth, Ferdinand is a scholarly article available to read on EtoBox.

What is Physics-informed Tracking of Qubit Fluctuations about?

Environmental fluctuations degrade the performance of solid-state qubits but can in principle be mitigated by real-time Hamiltonian estimation down to time scales 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 c

Author

Berritta, Fabrizio; Krzywda, Jan A.; Benestad, Jacob; van der Heijden, Joost; Fedele, Federico; Fallahi, Saeed; Gardner, Geoffrey C.; Manfra, Michael J.; van Nieuwenburg, Evert; Danon, Jeroen; Chatterjee, Anasua; Kuemmeth, Ferdinand

Published

2024

Language

EN