Knill, E.
, Glancy, S.
, Cole, D.
and Geller, S.
(2022),
Improving quantum state detection with adaptive sequential observations, Quantum Science and Technology, [online], https://doi.org/10.1088/2058-9565/ac6972, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=933559
(Accessed September 14, 2024)
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Improving quantum state detection with adaptive sequential observations
Published
Author(s)
, , Daniel Cole,
Abstract
For many quantum systems intended for information processing, one detects the logical state of a qubit by integrating a continuously observed quantity over time. For example, ion and atom qubits are typically measured by driving a cycling transition and counting the number of photons observed from the resulting fluorescence. Instead of recording only the total observed count, one can observe the photon arrival times and get a state detection advantage by using the temporal structure in a model such as a Hidden Markov Model. We initiate the study of what further advantage may be achieved by applying pulses to adaptively transform the state during the observation. We give a three-state example where adaptively chosen transformations yield a clear advantage, and we compare performances on a prototypical ion example, where we see improvements in some regimes. We make available a software package that can be used for exploration of temporally resolved strategies with and without adaptively chosen transformations.Citation
Quantum Science and Technology
Volume
7
Pub Type
Journals
Download Paper
Keywords
quantum bit measurement, hidden Markov models
Citation
Issues
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Created May 13, 2022, Updated June 7, 2023