Coincidence landscapes for polarized bosons

Jizhou Wu, Hubert de Guise, and Barry C. Sanders
Phys. Rev. A 98, 013817 – Published 10 July 2018

Abstract

Passive optical interferometry with single photons injected into some input ports and vacuum into others is enriched by admitting polarization, thereby replacing the scalar electromagnetic description by a vector theory, with the recent triad phase being a celebrated example of this richness. On the other hand, incorporating polarization into interferometry is known to be equivalent to scalar theory if the number of channels is doubled. We show that passive multiphoton m-channel interferometry described by SU(m) transformations is replaced by SU(2m) interferometry if polarization is included and thus that the multiphoton coincidence landscape, whose domain corresponds to various relative delays between photon arrival times, is fully explained by the now-standard approach of using immanants to compute coincidence sampling probabilities. Consequently, we show that the triad phase is manifested simply as SU(6) interferometry with three input photons, with one photon in each of three different input ports. Our analysis incorporates passive polarization multichannel interferometry into the existing scalar-field approach to computing multiphoton coincidence probabilities in interferometry and demystifies the triad phase.

  • Figure
  • Received 20 March 2018

DOI:https://doi.org/10.1103/PhysRevA.98.013817

©2018 American Physical Society

Physics Subject Headings (PhySH)

Atomic, Molecular & OpticalQuantum Information, Science & Technology

Authors & Affiliations

Jizhou Wu1, Hubert de Guise2, and Barry C. Sanders1,3,4

  • 1Shanghai Branch, National Laboratory for Physical Sciences at Microscale, University of Science and Technology of China, Shanghai 201315, China
  • 2Department of Physics, Lakehead University, Thunder Bay, Ontario P7B 5E1, Canada
  • 3Institute for Quantum Science and Technology, University of Calgary, Alberta T2N 1N4, Canada
  • 4Program in Quantum Information Science, Canadian Institute for Advanced Research, Toronto, Ontario M5G 1M1, Canada

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Vol. 98, Iss. 1 — July 2018

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