Projects per year
Quantum information protocols, such as quantum error correction and quantum phase estimation, have been widely used to enhance the performance of quantum sensors. While these protocols have relied on single-shot detection, in most practical applications only an averaged readout is available, as in the case of room-temperature sensing with the electron spin associated with a nitrogen-vacancy center in diamond. Here, we theoretically investigate the application of the quantum phase estimation algorithm for high dynamic-range magnetometry, when single-shot readout is not available. We show that, even in this case, Bayesian estimation provides a natural way to efficiently use the available information. We apply Bayesian analysis to achieve an optimized sensing protocol for estimating a time-independent magnetic field with a single electron spin associated to a nitrogen-vacancy center at room temperature and show that this protocol improves the sensitivity over previous protocols by more than a factor of 3. Moreover, we show that an extra enhancement can be achieved by considering the timing information in the detector clicks.
|Number of pages||7|
|Journal||Physical Review B|
|Publication status||Published - 11 Mar 2019|
Bibliographical noteCopyright 2019 American Physical Society. Firstly published in Physical Review B, 99(12), 125413, 2019. The original publication is available at https://doi.org/10.1103/PhysRevB.99.125413. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.
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- 2 Finished
Quantum algorithms for quantum chemistry
Berry, D. & Babbush, R.
2/05/19 → 1/05/22
Quantum algorithms for computational physics
Berry, D., Brennen, G., Childs, A., Pachos, J. K. & Aspuru-Guzik, A.
1/01/16 → 20/09/19