A highly scalable Restricted Boltzmann Machine FPGA implementation. - Sang Kyun Kim; Lawrence C. McAfee; Peter Leonard McMahon; Kunle Olukotun (FPL, 2009)

A Large-Scale Architecture for Restricted Boltzmann Machines. - Sang Kyun Kim; Peter Leonard McMahon; Kunle Olukotun (FCCM, 2010)

Application of a reconfigurable computing cluster to ultra high throughput genome resequencing (abstract only). - Kristian Stevens; Henry Chen; Terry Filiba; Peter L. McMahon; Yun S. Song (FPGA, 2010)

SeqHive: A Reconfigurable Computer Cluster for Genome Re-sequencing. - Kristian Stevens; Henry Chen; Terry Filiba; Peter L. McMahon; Yun S. Song (FPL, 2010)

Quantum-dot spin-photon entanglement via frequency downconversion to telecom wavelength. - Kristiaan De Greve; Leo Yu; Peter L. McMahon; Jason S. Pelc; Chandra M. Natarajan; Na Young Kim; Eisuke Abe; Sebastian Maier; Christian Schneider 005; Martin Kamp; Sven Höfling; Robert H. Hadfield; et al. (Nat., 2012)

Scaling advantages of all-to-all connectivity in physical annealers: the Coherent Ising Machine vs. D-Wave 2000Q. - Ryan Hamerly; Takahiro Inagaki; Peter L. McMahon; Davide Venturelli; Alireza Marandi; Tatsuhiro Onodera; Edwin Ng; Carsten Langrock; Kensuke Inaba; Toshimori Honjo; Koji Enbutsu; Takeshi Umeki; et al. (CoRR, 2018)

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)

Ising Machines' Dynamics and Regularization for Near-Optimal Large and Massive MIMO Detection. - Abhishek Kumar Singh; Kyle Jamieson; Davide Venturelli; Peter L. McMahon (CoRR, 2021)

Simulation Intelligence: Towards a New Generation of Scientific Methods. - Alexander Lavin; Hector Zenil; Brooks Paige; David Krakauer; Justin Gottschlich; Tim Mattson; Anima Anandkumar; Sanjay Choudry; Kamil Rocki; Atilim Günes Baydin; Carina Prunkl; Olexandr Isayev; et al. (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)

Regularized Ising Formulation for Near-Optimal MIMO Detection using Quantum Inspired Solvers. - Abhishek Kumar Singh; Kyle Jamieson; Peter L. McMahon; Davide Venturelli (GLOBECOM, 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 (CoRR, 2022)

Attention-based quantum tomography. - Peter Cha; Paul Ginsparg; Felix Wu; Juan Carrasquilla; Peter L. McMahon; Eun-Ah Kim (Mach. Learn. Sci. Technol., 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)

Ising Machines' Dynamics and Regularization for Near-Optimal MIMO Detection. - Abhishek Kumar Singh; Kyle Jamieson; Peter L. McMahon; Davide Venturelli (IEEE Trans. Wirel. Commun., 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)

Roadmap for Unconventional Computing with Nanotechnology. - Giovanni Finocchio; Supriyo Bandyopadhyay; Peng Lin; Gang Pan 001; J. Joshua Yang; Riccardo Tomasello; Christos Panagopoulos; Mario Carpentieri; Vito Puliafito; Johan Åkerman; Hiroki Takesue; Amit Ranjan Trivedi; et al. (CoRR, 2023)

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 physics of optical computing. - 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)

Uplink MIMO Detection Using Ising Machines: A Multi-Stage Ising Approach. - Abhishek Kumar Singh; Ari Kapelyan; Minsung Kim; Davide Venturelli; Peter L. McMahon; Kyle Jamieson (IEEE Trans. Wirel. Commun., 2024)

Roadmap on Neuromorphic Photonics. - Daniel Brunner; Bhavin J. Shastri; Mohammed Al-Qadasi; Hitesh Ballani; Sylvain Barbay; Stefano Biasi; Peter Bienstman; Simon Bilodeau; Wim Bogaerts; Fabian Böhm; Grace Brennan; Sonia M. Buckley; et al. (CoRR, 2025)

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)