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20222026
most citedImage sensing with multilayer, nonlinear optical neural networks

271 citations · 346 across the 13 of their papers we have counts for

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5 papers · 1 filter

physics.optics2026

Measurement-Adapted Eigentask Representations for Photon-Limited Optical Readout

Tianyang Chen, Mandar M. Sohoni, Saeed A. Khan +5

Optical readout in low-light imaging is fundamentally limited by measurement noise, including photon shot noise, detector noise, and quantization error. In this regime, downstream…

physics.optics2026

Machine vision with small numbers of detected photons per inference

Shi-Yuan Ma, Jérémie Laydevant, Mandar M. Sohoni +3

Machine vision, including object recognition and image reconstruction, is a central technology in many consumer devices and scientific instruments. The design of machine-vision sys…

physics.optics2024★ 7 cited

Arbitrary control over multimode wave propagation for machine learning

Tatsuhiro Onodera, Martin M. Stein, Benjamin A. Ash +10

Controlled multimode wave propagation can enable more space-efficient photonic processors than architectures based on discrete components connected by single-mode waveguides. Inste…

physics.optics2023★ 24 cited

Quantum-limited stochastic optical neural networks operating at a few quanta per activation

Shi-Yuan Ma, Tianyu Wang, Jérémie Laydevant +2

Energy efficiency in computation is ultimately limited by noise, with quantum limits setting the fundamental noise floor. Analog physical neural networks hold promise for improved…

physics.optics2022★ 271 cited

Image sensing with multilayer, nonlinear optical neural networks

Tianyu Wang, Mandar M. Sohoni, Logan G. Wright +5

Optical imaging is commonly used for both scientific and technological applications across industry and academia. In image sensing, a measurement, such as of an object's position,…