Year: 2024
Type: article
Abstract: Characterizing the time over which quantum coherence survives is critical for any implementation of quantum bits, memories, and sensors. The usual method for determining a quantum system’s decoherence rate involves a suite of experiments probing the entire expected range of this parameter, and extracting the resulting estimation in postprocessing. Here we present an adaptive multiparameter Bayesian approach, based on a simple analytical update rule, to estimate the key decoherence timescales ( T1 , T2∗ , and T2 ) and the corresponding decay exponent of a quantum system in real time, using information gained in preceding experiments. This approach reduces the time required to reach a given uncertainty by a factor up to an order of magnitude, depending on the specific experiment, compared to the standard protocol of curve fitting. A further speedup of a factor approximately 2 can be realized by performing our optimization with respect to sensitivity as opposed to variance. Published by the American Physical Society 2024
Source: Physical Review Applied
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Awards: G109462088, Quantum Emitters for Telecommunication in the O-Band, G2630178487, Quantum Magnetometry Facility, Engineered Diamond Technologies, QuantIC - The UK Quantum Technology Hub in Quantum Imaging, Quantum Sensors for Fundamental Physics and Society, G3958435407, The University of St Andrews - Equipment Account, G4527851896, G5025975358, MOSQUITO: MObile Spin-based QUantum Information sTOrage, Levitated Quantum Diamonds (LQD), EPSRC Hub in Quantum Computing and Simulation, G6319620625, G8126849456, Diamond in Advanced Technology with Optical Machining (DIATOM), G8434562786, G8835397582
OpenAlex ID: W4391776502