A Photonic Neural Network Using < 1 Photon per Scalar Multiplication. - Tianyu Wang 013; Shi-Yuan Ma; Logan G. Wright; Tatsuhiro Onodera; Brian C. Richard; Peter L. McMahon (HCS, 2021)

Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems. - Logan G. Wright; Tatsuhiro Onodera; Martin M. Stein; Tianyu Wang 013; Darren T. Schachter; Zoey Hu; Peter L. McMahon (CoRR, 2021)

An optical neural network using less than 1 photon per multiplication. - Tianyu Wang 013; Shi-Yuan Ma; Logan G. Wright; Tatsuhiro Onodera; Brian C. Richard; Peter L. McMahon (CoRR, 2021)

Data repository of the paper "An optical neural network using less than 1 photon per multiplication". - Tianyu Wang 013; Shi-Yuan Ma; Logan G. Wright; Tatsuhiro Onodera; Brian C. Richard; Peter L. McMahon (Zenodo, 2021)

Image sensing with multilayer, nonlinear optical neural networks. - Tianyu Wang 013; Mandar M. Sohoni; Logan G. Wright; Martin M. Stein; Shi-Yuan Ma; Tatsuhiro Onodera; Maxwell G. Anderson; Peter L. McMahon (CoRR, 2022)

Deep physical neural networks trained with backpropagation. - Logan G. Wright; Tatsuhiro Onodera; Martin M. Stein; Tianyu Wang 013; Darren T. Schachter; Zoey Hu; Peter L. McMahon (Nat., 2022)

Image sensing with multilayer, nonlinear optical neural networks. - Tianyu Wang 013; Mandar M. Sohoni; Logan G. Wright; Martin M. Stein; Shi-Yuan Ma; Tatsuhiro Onodera; Maxwell G. Anderson; Peter L. McMahon (Zenodo, 2022)

Quantum-noise-limited optical neural networks operating at a few quanta per activation. - Shi-Yuan Ma; Tianyu Wang 013; Jérémie Laydevant; Logan G. Wright; Peter L. McMahon (CoRR, 2023)

The hardware is the software. - Jérémie Laydevant; Logan G. Wright; Tianyu Wang 013; Peter L. McMahon (CoRR, 2023)

Data repository of the paper "Quantum-noise-limited optical neural networks operating at a few quanta per activation". - Shi-Yuan Ma; Tianyu Wang 013; Jérémie Laydevant; Logan G. Wright; Peter L. McMahon (Zenodo, 2023)

Scaling on-chip photonic neural processors using arbitrarily programmable wave propagation. - Tatsuhiro Onodera; Martin M. Stein; Benjamin A. Ash; Mandar M. Sohoni; Melissa Bosch; Ryotatsu Yanagimoto; Marc Jankowski; Timothy P. McKenna; Tianyu Wang 013; Gennady Shvets; Maxim R. Shcherbakov; Logan G. Wright; et al. (CoRR, 2024)

Optical Transformers. - Maxwell G. Anderson; Shi-Yuan Ma; Tianyu Wang 013; Logan G. Wright; Peter L. McMahon (Trans. Mach. Learn. Res., 2024)

Data repository for the paper "Highly multimode visible squeezed light with programmable spectral correlations through broadband up-conversion". - Federico Presutti; Logan G. Wright; Shi-Yuan Ma; Tianyu Wang 013; Benjamin K. Malia; Tatsuhiro Onodera; Peter L. McMahon (Zenodo, 2024)

Solving the compute crisis with physics-based ASICs. - Maxwell Aifer; Zach Belateche; Suraj Bramhavar; Kerem Yunus Çamsari; Patrick J. Coles; Gavin E. Crooks; Douglas J. Durian; Andrea J. Liu; Anastasia Marchenkova; Antonio J. Martinez; Peter L. McMahon; Faris M. Sbahi; et al. (CoRR, 2025)

Training of physical neural networks. - Ali Momeni 002; Babak Rahmani; Benjamin Scellier; Logan G. Wright; Peter L. McMahon; Clara C. Wanjura; Yuhang Li; Anas Skalli; Natalia G. Berloff; Tatsuhiro Onodera; Ilker Oguz; Francesco Morichetti; et al. (Nat., 2025)