ABSTRACT
Decoherence mitigation for logical qubits is one of the most important tasks towards implementing quantum technologies in practical settings. To mitigate decoherence, one needs to learn more about environmental noises affecting the qubits and thus make appropriate corrections. In this work, we consider decoherence in solid-state qubits from the charge noise, i.e., noise from electrons or holes trapped in impurities. The noise is commonly described by a random telegraph process (RTP), where its realization is a series of random switches between two fixed values. We introduce a theoretical protocol for RTP noise estimation-correction using a “spectator qubit” that is sensitive to the noise and can be measured with a fast time scale; therefore, it can be used to protect the coherence of any "data qubits" nearby. Using our developed Bayesian map approach, we derive an optimal protocol called “Map-based Optimized Adaptive Algorithm for Asymptotic Regime” (MOAAAR) and show that the data qubit decoherence rate can be reduced with a scaling of 
, where
BIOGRAPHY
Areeya Chantasri is a lecturer at Department of Physics, Faculty of Science, Mahidol University. She received Ph.D. in Physics from University of Rochester (USA) in 2016 and worked as a research fellow at Griffith University (Australia) from 2017 to 2020. Her research interests include quantum measurement and control, estimation theory for quantum systems, and quantum stochastic processes. Her most cited research papers include work related to the most-likely path and stochastic path integral for continuous quantum measurement.
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Faculty of Science, Mahidol University
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