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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Walter, M. Renes, J.M. |
| Copyright Year | 1963 |
| Abstract | The laws of quantum mechanics place fundamental limits on the accuracy of measurements and, therefore, on the estimation of unknown parameters of a quantum system. In this paper, we prove lower bounds on the size of confidence regions reported by any region estimator for a given ensemble of probe states and probability of success. Our bounds are derived from a previously unnoticed connection between the size of confidence regions and the error probabilities of a corresponding binary hypothesis test. In group-covariant scenarios, we find that there is an ultimate bound for any estimation scheme, which depends only on the representation-theoretic data of the probe system, and we evaluate its asymptotics in the limit of many systems, establishing a general Heisenberg limit for region estimation. We apply our results to several examples, in particular, to phase estimation, where our bounds allow us to recover the well-known Heisenberg and shot-noise scaling. |
| Sponsorship | IEEE Information Theory Society |
| Starting Page | 8007 |
| Ending Page | 8023 |
| Page Count | 17 |
| File Size | 563148 |
| File Format | |
| ISSN | 00189448 |
| Volume Number | 60 |
| Issue Number | 12 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Probes Entropy Quantum mechanics Estimation Mean square error methods Parameter estimation Testing representation theory Quantum parameter estimation confidence regions lower bounds Heisenberg limit covariant estimation hypothesis testing quantum information theory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Library and Information Sciences Information Systems Computer Science Applications |
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