Verifying energy-time entanglement with irregularly sampled correlations
Verifying entanglement with experimental measurements requires that we take the limitations of experimental techniques into account, while still proving that the data obtained could not have been generated from a classical source. In the energy-time degree of freedom, this challenge is exacerbated because realistic high-resolution frequency measurements are obtained as a function of light passing through arbitrary filters positioned at uneven intervals. In this work, we show how the data gathered from these kinds of measurements can be used to fully certify the degree of energy and timing correlations needed to certify energy-time entanglement without having to make special assumptions about the state or the measurement device. We accomplish this by showing how to construct a continuous-variable probability density from the data that can closely estimate, but never overestimate the correlations (and entanglement) actually present in the system, and note that these methods are applicable to all continuous-variable degrees of freedom (e.g., spatial, field quadratures, etc.). We illustrate the feasibility of these methods using frequency and timing correlations obtainable from photon pairs in spontaneous parametric down-conversion.
Authors
- Michael L. Fanto (ORCID: https://orcid.org/0000-0002-8406-7100)
- Paul M. Alsing (ORCID: https://orcid.org/0000-0003-0467-5200)
- Richard J. Birrittella
- Christopher C. Tison
- Ian Brinkley
- Karl J. Friston
Institutions
- United States Air Force Research Laboratory (US)
- Booz Allen Hamilton (United States) (US)
- Rochester Institute of Technology (US)
- University of California, Los Angeles (US)
- UCLA Health (US)
Publication Details
- Journal
- Physical Review Research
- Published
- 2025-07-14
- DOI
- https://doi.org/10.1103/6nws-mlgs
- Primary Topic
- Quantum Mechanics and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Defense
- Air Force Office of Scientific Research