Real-time adaptive estimation of decoherence timescales for a single qubit
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arXiv
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| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2022
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| Subjects: | |
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| _version_ | 1866911780785094656 |
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| author | Arshad, Muhammad Junaid Bekker, Christiaan Haylock, Ben Skrzypczak, Krzysztof White, Daniel Griffiths, Benjamin Gore, Joe Morley, Gavin W. Salter, Patrick Smith, Jason Zohar, Inbar Finkler, Amit Altmann, Yoann Gauger, Erik M. Bonato, Cristian |
| author_facet | Arshad, Muhammad Junaid Bekker, Christiaan Haylock, Ben Skrzypczak, Krzysztof White, Daniel Griffiths, Benjamin Gore, Joe Morley, Gavin W. Salter, Patrick Smith, Jason Zohar, Inbar Finkler, Amit Altmann, Yoann Gauger, Erik M. Bonato, Cristian |
| contents | Characterising 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 post-processing. Here we present an adaptive multi-parameter Bayesian approach, based on a simple analytical update rule, to estimate the key decoherence timescales ($T_1$, $T_2^*$ and $T_2$) 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 speed-up of a factor $\sim 2$ can be realised by performing our optimisation with respect to sensitivity as opposed to variance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2210_06103 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Real-time adaptive estimation of decoherence timescales for a single qubit Arshad, Muhammad Junaid Bekker, Christiaan Haylock, Ben Skrzypczak, Krzysztof White, Daniel Griffiths, Benjamin Gore, Joe Morley, Gavin W. Salter, Patrick Smith, Jason Zohar, Inbar Finkler, Amit Altmann, Yoann Gauger, Erik M. Bonato, Cristian Quantum Physics Characterising 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 post-processing. Here we present an adaptive multi-parameter Bayesian approach, based on a simple analytical update rule, to estimate the key decoherence timescales ($T_1$, $T_2^*$ and $T_2$) 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 speed-up of a factor $\sim 2$ can be realised by performing our optimisation with respect to sensitivity as opposed to variance. |
| title | Real-time adaptive estimation of decoherence timescales for a single qubit |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2210.06103 |