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Quantum advantage in postselected metrology

Physics

Quantum advantage in postselected metrology

D. R. M. Arvidsson-shukur, N. Y. Halpern, et al.

Explore the groundbreaking research by David R. M. Arvidsson-Shukur, Nicole Yunger Halpern, Hugo V. Lepage, Aleksander A. Lasek, Crispin H. W. Barnes, and Seth Lloyd. Their work reveals how postselection can dramatically enhance Fisher information in parameter-estimation experiments, leveraging negative quasiprobabilities to achieve remarkable information-cost rates unattainable by classical theories.

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Playback language: English
Abstract
Postselection can improve the rate of Fisher information (the average information learned about an unknown parameter from a trial) to cost in parameter-estimation experiments. This improvement stems from the negativity of a particular quasiprobability distribution, a quantum extension of a probability distribution. Negative quasiprobabilities enable postselected quantum experiments to outperform optimal postselection-free experiments, yielding anomalously large information-cost rates. This advantage is unrealizable in any classically commuting theory. A preparation-and-postselection procedure yielding arbitrarily large Fisher information is constructed.
Publisher
Nature Communications
Published On
Jul 29, 2020
Authors
David R. M. Arvidsson-Shukur, Nicole Yunger Halpern, Hugo V. Lepage, Aleksander A. Lasek, Crispin H. W. Barnes, Seth Lloyd
Tags
Fisher information
postselection
quasiprobability distribution
quantum experiments
parameter estimation
information-cost rates
negative quasiprobabilities
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