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Andrew H. Proppe

4 papers hereh-index 25 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cond-mat.mes-hall1
  • cs.LG1
  • physics.optics1
  • quant-ph1
same name
  • Andrew H. Proppe — 2 papers, h 48

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most cited3D-2D Neural Nets for Phase Retrieval in Noisy Interferometric Imaging

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cond-mat.mes-hall2025★ 1 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…

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…

quant-ph2025

Ultrafast switching of telecom photon-number states

Kate L. Fenwick, Frédéric Bouchard, Alicia Sit +7

A crucial component of photonic quantum information processing platforms is the ability to modulate, route, convert, and switch quantum states of light noiselessly with low inserti…

physics.optics2024★ 2 cited

3D-2D Neural Nets for Phase Retrieval in Noisy Interferometric Imaging

Andrew H. Proppe, Guillaume Thekkadath, Duncan England +4

In recent years, neural networks have been used to solve phase retrieval problems in imaging with superior accuracy and speed than traditional techniques, especially in the presenc…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.