4.6 Article

Entropic uncertainty and measurement reversibility

期刊

NEW JOURNAL OF PHYSICS
卷 18, 期 -, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/1367-2630/18/7/073004

关键词

uncertainty principle; quantum relative entropy; measurement reversibility

资金

  1. Institute for Quantum Information and Matter, an NSF Physics Frontiers Center (NSF Grant) [PHY-1125565]
  2. Gordon and Betty Moore Foundation [GBMF-12500028]
  3. ARO grant for Research on Quantum algorithms at the IQIM [W911NF-12-1-0521]
  4. STW, Netherlands
  5. NWO VIDI Grant
  6. Department of Physics and Astronomy at LSU
  7. NSF [CCF-1350397]
  8. DARPA Quiness Program through US Army Research Office award [W31P4Q-12-1-0019]

向作者/读者索取更多资源

The entropic uncertainty relation with quantum side information (EUR-QSI) from (Berta et al 2010 Nat. Phys. 6 659) is a unifying principle relating two distinctive features of quantum mechanics: quantum uncertainty due to measurement incompatibility, and entanglement. In these relations, quantum uncertainty takes the form of preparation uncertainty where one of two incompatible measurements is applied. In particular, the 'uncertainty witness' lower bound in the EUR-QSI is not a function of a post-measurement state. An insightful proof of the EUR-QSI from (Coles et al 2012 Phys. Rev. Lett. 108 210405) makes use of a fundamental mathematical consequence of the postulates of quantum mechanics known as the non-increase of quantum relative entropy under quantum channels. Here, we exploit this perspective to establish a tightening of the EUR-QSI which adds a new state-dependent term in the lower bound, related to how well one can reverse the action of a quantum measurement. As such, this new term is a direct function of the post-measurement state and can be thought of as quantifying how much disturbance a given measurement causes. Our result thus quantitatively unifies this feature of quantum mechanics with the others mentioned above. We have experimentally tested our theoretical predictions on the IBM quantum experience and find reasonable agreement between our predictions and experimental outcomes.

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