Verifying Energy-Time Entanglement with Irregularly Sampled Correlations
James Schneeloch, Christopher C. Tison, Richard J. Birrittella, Ian Brinkley, Michael L. Fanto, and Paul M. Alsing

TL;DR
This paper introduces a method to verify energy-time entanglement using irregularly sampled correlation data, enabling certification without assumptions about the state or measurement device, applicable to various continuous-variable systems.
Contribution
It presents a novel technique to construct a continuous-variable probability density from irregular data, certifying entanglement without relying on idealized assumptions.
Findings
Method successfully certifies energy-time entanglement from irregular measurements
Applicable to all continuous-variable degrees of freedom
Demonstrated using photon pairs from Spontaneous Parametric Down-Conversion
Abstract
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 over-estimate the…
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Taxonomy
TopicsComputational Physics and Python Applications
