Logan G. Wright

According to our database, Logan G. Wright authored at least 15 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Training of physical neural networks.

Ali Momeni, 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, Philipp del Hougne, Manuel Le Gallo, Abu Sebastian, Azalia Mirhoseini, Cheng Zhang, Danijela Markovic, Daniel Brunner, Christophe Moser, Sylvain Gigan, Florian Marquardt, Aydogan Ozcan, Julie Grollier, Andrea J. Liu, Demetri Psaltis, Andrea Alù, Romain Fleury

Nat., September, 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, Benjamin Weiner, Logan G. Wright

CoRR, July, 2025

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, Benjamin K. Malia, Tatsuhiro Onodera, Peter L. McMahon

Dataset, January, 2024

Optical Transformers.

Maxwell G. Anderson, Shi-Yuan Ma, Tianyu Wang, Logan G. Wright, Peter L. McMahon

Trans. Mach. Learn. Res., 2024

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, Gennady Shvets, Maxim R. Shcherbakov, Logan G. Wright, Peter L. McMahon

CoRR, 2024

2023

Data repository of the paper "Quantum-noise-limited optical neural networks operating at a few quanta per activation".

Shi-Yuan Ma, Tianyu Wang, Jérémie Laydevant, Logan G. Wright, Peter L. McMahon

Dataset, July, 2023

The hardware is the software.

Jérémie Laydevant, Logan G. Wright, Tianyu Wang, Peter L. McMahon

CoRR, 2023

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

Shi-Yuan Ma, Tianyu Wang, Jérémie Laydevant, Logan G. Wright, Peter L. McMahon

CoRR, 2023

2022

Image sensing with multilayer, nonlinear optical neural networks.

Tianyu Wang, Mandar M. Sohoni, Logan G. Wright, Martin M. Stein, Shi-Yuan Ma, Tatsuhiro Onodera, Maxwell G. Anderson, Peter L. McMahon

Dataset, July, 2022

Deep physical neural networks trained with backpropagation.

Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein, Tianyu Wang, Darren T. Schachter, Zoey Hu, Peter L. McMahon

Nat., 2022

Image sensing with multilayer, nonlinear optical neural networks.

Tianyu Wang, Mandar M. Sohoni, Logan G. Wright, Martin M. Stein, Shi-Yuan Ma, Tatsuhiro Onodera, Maxwell G. Anderson, Peter L. McMahon

CoRR, 2022

2021

Data repository of the paper "An optical neural network using less than 1 photon per multiplication".

Tianyu Wang, Shi-Yuan Ma, Logan G. Wright, Tatsuhiro Onodera, Brian C. Richard, Peter L. McMahon

Dataset, April, 2021

An optical neural network using less than 1 photon per multiplication.

Tianyu Wang, Shi-Yuan Ma, Logan G. Wright, Tatsuhiro Onodera, Brian C. Richard, Peter L. McMahon

CoRR, 2021

Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems.

Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein, Tianyu Wang, Darren T. Schachter, Zoey Hu, Peter L. McMahon

CoRR, 2021

A Photonic Neural Network Using < 1 Photon per Scalar Multiplication.

Tianyu Wang, Shi-Yuan Ma, Logan G. Wright, Tatsuhiro Onodera, Brian C. Richard, Peter L. McMahon

Proceedings of the IEEE Hot Chips 33 Symposium, 2021