TY - JOUR

T1 - Real-time adaptive estimation of decoherence timescales for a single qubit

AU - Arshad, Muhammad Junaid

AU - Bekker, Christiaan

AU - Haylock, Ben

AU - Skrzypczak, Krzysztof

AU - White, Daniel

AU - Griffiths, Benjamin

AU - Gore, Joe

AU - Morley, Gavin W.

AU - Salter, Patrick

AU - Smith, Jason

AU - Zohar, Inbar

AU - Finkler, Amit

AU - Altmann, Yoann

AU - Gauger, Erik M.

AU - Bonato, Cristian

PY - 2024/2

Y1 - 2024/2

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85185330214&partnerID=8YFLogxK

U2 - 10.1103/PhysRevApplied.21.024026

DO - 10.1103/PhysRevApplied.21.024026

M3 - Article

AN - SCOPUS:85185330214

SN - 2331-7019

VL - 21

JO - Physical Review Applied

JF - Physical Review Applied

IS - 2

M1 - 024026

ER -