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From the 1 of 8 linked papers with an AI index.

most citedEntanglement, loss, and quantumness: When balanced beam splitters are best

2 citations · 5 across the 4 of their papers we have counts for

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8 papers

physics.optics2026

Sub-Rayleigh Imaging of Unequal-Intensity Sources: Near-Quantum-Limit Multiparameter Estimation

Y. Batuhan Yilmaz, Kent A. G. Bonsma-Fisher, Muhammad Mohid +3

In optical imaging, diffraction strongly degrades the performance of conventional intensity-based estimation once the separation between two sources is below the Rayleigh-Abbe limi…

quant-ph20262 cited

Entanglement, loss, and quantumness: When balanced beam splitters are best

Noah Lupu-Gladstein, Anaelle Hertz, Khabat Heshami +1

The paper proves that beam splitters with equal transmission and reflection (balanced) generate the maximum entanglement for states interfered with vacuum under common entanglement…

quant-ph20262 cited

Information gain and measurement disturbance for quantum agents

Arthur O. T. Pang, Noah Lupu-Gladstein, Y. Batuhan Yilmaz +4

The traditional formalism of quantum measurement (hereafter ``TQM'') describes processes where some properties of quantum states are extracted and stored as classical information.…

cond-mat.mes-hall20261 cited

Magnetometry with Broadband Microwave Fields in Nitrogen-Vacancy Centers in Diamond

Arezoo Afshar, Andrew Proppe, Noah Lupu-Gladstein +3

Nitrogen-vacancy (NV) centers in diamond are optically addressable and versatile light-matter interfaces with practical application in magnetic field sensing, offering the ability…

quant-ph2026

Compressing Quantum Fisher Information

Rui Jie Tang, Jeremy Guenza Marcus, Noah Lupu-Gladstein +5

We show that the quantum Fisher information about any phase parameter encoded in a family of pure quantum states can be faithfully compressed into a single qubit, accompanied by a…

cs.LG2025

Imaging at the quantum limit with convolutional neural networks

Andrew H. Proppe, Aaron Z. Goldberg, Guillaume Thekkadath +8

Deep neural networks have been shown to achieve exceptional performance for computer vision tasks like image recognition, segmentation, and reconstruction or denoising. Here, we ev…