Quantum metrology from an information theory perspective
Abstract
Questions about quantum limits on measurement precision were once viewed from the perspective of how to reduce or avoid the effects of quantum noise. With the advent of quantum information science came a paradigm shift to proving rigorous bounds on measurement precision. These bounds have been interpreted as saying, first, that the best achievable sensitivity scales as 1/n, where n is the number of particles one has available for a measurement and, second, that the only way to achieve this Heisenberg-limited sensitivity is to use quantum entanglement. We review these results and show that using quadratic couplings of n particles to a parameter to be estimated, one can achieve sensitivities that scale as 1/n^2 if one uses entanglement, but even in the absence of any entanglement at any time during the measurement protocol, one can achieve a super-Heisenberg scaling of 1/n^(3/2)
Additional Information
© 2009 American Institute of Physics. Issue Date: 13 April 2009. This work was supported in part by the US Office of Naval Research (Grant No. N00014-07-1-0304), the Australian Research Council's Discovery Projects funding scheme (Project No. DP0343094), EPSRC Grant No. EP/C546237/1, and the NSF under grant PHY-0803371. STF was supported by the Perimeter Institute for Theoretical Physics; research at Perimeter is supported by the Government of Canada through Industry Canada and by the Province of Ontario through the Ministry of Research & Innovation.Attached Files
Published - Boixo2009p8378Quantum_Communication_Measurement_And_Computing__Qcmc_.pdf
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Additional details
- Eprint ID
- 18234
- Resolver ID
- CaltechAUTHORS:20100511-100311769
- U. S. Office of Naval Research
- N00014-07-1-0304
- Australian Research Council
- Project No. DP0343094
- EPSRC
- EP/C546237/1
- NSF
- PHY-0803371
- Perimeter Institute for Theoretical Physics
- Government of Canada through Industry Canada
- Province of Ontario through the Ministry of Research & Innovation
- Created
-
2010-06-24Created from EPrint's datestamp field
- Updated
-
2021-11-08Created from EPrint's last_modified field
- Series Name
- AIP Conference Proceedings
- Series Volume or Issue Number
- 1110