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20182026
most citedDeep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems

747 citations · 1.9k across the 25 of their papers we have counts for

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Showing physics.opticsShow all

7 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…

physics.optics2026

TRON: Trainable, architecture-reconfigurable random optical neural networks

Ziao Wang, Fei Xia, Logan G. Wright +5

Deep learning has triggered explosive growth in the demand for specialized hardware processors, thus motivating the development of scalable and reconfigurable computing substrates.…

physics.optics2025★ 21 cited

Programmable on-chip nonlinear photonics

Ryotatsu Yanagimoto, Benjamin A. Ash, Mandar M. Sohoni +7

Nonlinear photonics uses coherent interactions between optical waves to engineer functionality that is not possible with purely linear optics. Traditionally, the function of a nonl…

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.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,…

physics.optics2021★ 273 cited

An optical neural network using less than 1 photon per multiplication

Tianyu Wang, Shi-Yuan Ma, Logan G. Wright +3

Deep learning has rapidly become a widespread tool in both scientific and commercial endeavors. Milestones of deep learning exceeding human performance have been achieved for a gro…