activity
20222026
most citedImage sensing with multilayer, nonlinear optical neural networks

271 citations · 317 across the 9 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

physics.optics2026

Lithography-free in situ photonic inverse design

Yiqi Zhao, Martin M. Stein, Fan O. Wu +6

Inverse design has emerged as a powerful engineering approach in nanophotonics, leading to devices with unintuitive designs that extend beyond human intuition. However, inverse-des…

physics.optics2026

Programmable nonlinearity within nanophotonic waveguides

Benjamin A. Ash, Ryotatsu Yanagimoto, Mandar M. Sohoni +8

Nonlinear nanophotonics enables the engineering of optical functions using light-matter interactions in nanoscale structures with carefully designed geometries. Phase matching in n…

quant-ph2026

Exponential quantum advantage for learning signals with a single qubit

Ishaan Kannan, Sridhar Prabhu, Saeed A. Khan +7

Quantum technology has the potential to transform scientific discovery, but quantum advantages often require processing capabilities well beyond the reach of experimental platforms…

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…

cs.CV2026

Ultra-low-light computer vision using trained photon correlations

Mandar M. Sohoni, Jérémie Laydevant, Mathieu Ouellet +7

Illumination using correlated photon sources has been established as an approach to allowing high-fidelity images to be reconstructed from noisy camera frames by taking advantage o…

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…