Logan G. Wright

According to our database, Logan G. Wright authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

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

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

Optical Transformers.

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

CoRR, 2023

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

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