Journal article
Real-time adaptive estimation of decoherence timescales for a single qubit
- 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 3.3MB, Terms of use)
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- Publisher copy:
- 10.1103/physrevapplied.21.024026
Authors
- Publisher:
- American Physical Society
- Journal:
- Physical Review Applied More from this journal
- Volume:
- 21
- Issue:
- 2
- Article number:
- 024026
- Publication date:
- 2024-02-13
- Acceptance date:
- 2024-01-18
- DOI:
- EISSN:
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2331-7019
- Language:
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English
- Keywords:
- Pubs id:
-
1619740
- Local pid:
-
pubs:1619740
- Deposit date:
-
2024-04-15
Terms of use
- Copyright holder:
- Arshad et al.
- Copyright date:
- 2024
- Rights statement:
- Copyright © 2024 The Author(s). Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.
- Licence:
- CC Attribution (CC BY)
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