• Open Access

Optimal quantum-programmable projective measurements with coherent states

Niraj Kumar, Ulysse Chabaud, Elham Kashefi, Damian Markham, and Eleni Diamanti
Phys. Rev. Research 3, 043035 – Published 14 October 2021

Abstract

We consider a device which can be programed using coherent states of light to approximate a given projective measurement on an input coherent state. We provide and discuss three practical implementations of this programmable projective measurement device with linear optics, involving only balanced beam splitters and single photon threshold detectors. The three schemes optimally approximate any projective measurement onto a program coherent state. We further extend these to the case where there are no assumptions on the input state. In this setting, we show that our scheme enables an efficient verification of an unbounded untrusted source with only local coherent states, balanced beam splitters, and threshold detectors. Exploiting the link between programmable measurements and generalized swap test, we show as a direct application that our schemes provide an asymptotically quadratic improvement in existing quantum fingerprinting protocol to approximate the Euclidean distance between two unit vectors.

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  • Received 9 February 2021
  • Accepted 26 May 2021

DOI:https://doi.org/10.1103/PhysRevResearch.3.043035

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Niraj Kumar1,*, Ulysse Chabaud2,†, Elham Kashefi1,2,‡, Damian Markham2,3,§, and Eleni Diamanti2,∥

  • 1School of Informatics, 10 Crichton St., University of Edinburgh, Edinburgh EH8 9AB, United Kingdom
  • 2CNRS, LIP6, Sorbonne Université, 4 Place Jussieu, 75005 Paris, France
  • 3JFLI, CNRS, National Institute of Informatics, University of Tokyo, Tokyo, Japan

  • *nkumar@exseed.ed.ac.uk
  • ulysse.chabaud@gmail.com
  • ekashefi@exseed.ed.ac.uk
  • §damian.markham@lip6.fr
  • eleni.diamanti@lip6.fr

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Vol. 3, Iss. 4 — October - December 2021

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