Tianyu Wang

According to our database, Tianyu Wang authored at least 17 papers between 2021 and 2026.

Collaborative distances:

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

2026

Measurement-Adapted Eigentask Representations for Photon-Limited Optical Readout.

Tianyang Chen, Mandar M. Sohoni, Saeed A. Khan, Jérémie Laydevant, Shi-Yuan Ma, Tianyu Wang, Peter L. McMahon, Hakan E. Türeci

CoRR, May, 2026

Physical Foundation Models: Fixed hardware implementations of large-scale neural networks.

Logan G. Wright, Tianyu Wang, Tatsuhiro Onodera, Peter L. McMahon

CoRR, April, 2026

Ultra-low-light computer vision using trained photon correlations.

Mandar M. Sohoni, Jérémie Laydevant, Mathieu Ouellet, Shi-Yuan Ma, Ryotatsu Yanagimoto, Benjamin A. Ash, Tatsuhiro Onodera, Tianyu Wang, Logan G. Wright, Peter L. McMahon

CoRR, April, 2026

Machine vision with small numbers of detected photons per inference.

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

CoRR, March, 2026

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