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19972026
most citedLSST: from Science Drivers to Reference Design and Anticipated Data Products

3.5k citations · 14.7k across the 231 of their papers we have counts for

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13 papers · 1 filter

quant-ph2025

Accidental coincidences in camera-based high-dimensional entanglement certification

Raphaël Guitter, Baptiste Courme, Chloé Vernière +3

High-dimensional entangled states, such as spatially-entangled photon pairs produced by Spontaneous Parametric Down-Conversion (SPDC), are a key resource for quantum technologies.…

quant-ph2025★ 1 cited

Full-field mapping of spatially varying polarization entanglement generated from spontaneous parametric down-conversion

Cheng Li, Girish Kulkarni, Isaac Soward +6

Two-photon states generated from spontaneous parametric down-conversion (SPDC) can display entanglement in all degrees of freedom (DoFs) of light, including spatial, temporal, and…

quant-ph2023★ 1 cited

Spectral characterization of a SPDC source with a fast broadband spectrometer

Brianna Farella, Gregory Medwig, Raphael A. Abrahao +1

Knowing the properties of the single photons produced in a Spontaneous Parametric Down-Conversion (SPDC) source can be crucial for specific applications and uses. In particular, th…

quant-ph2023★ 5 cited

Fast data-driven spectrometer with direct measurement of time and frequency for multiple single photons

Jakub Jirsa, Sergei Kulkov, Raphael A. Abrahao +9

We present a single-photon-sensitive spectrometer, based on a linear array of 512 single-photon avalanche diode detectors, with 0.04 nm spectral and 40 ps temporal resolutions. We…

quant-ph2023★ 26 cited

Quantifying high-dimensional spatial entanglement with a single-photon-sensitive time-stamping camera

Baptiste Courme, Chloé Vernière, Peter Svihra +3

High-dimensional entanglement is a promising resource for quantum technologies. Being able to certify it for any quantum state is essential. However, to date, experimental entangle…

quant-ph2022★ 23 cited

Classification of four-qubit entangled states via Machine Learning

S. V. Vintskevich, N. Bao, A. Nomerotski +2

We apply the support vector machine (SVM) algorithm to derive a set of entanglement witnesses (EW) to identify entanglement patterns in families of four-qubit states. The effective…