Ryan Hamerly

According to our database, Ryan Hamerly authored at least 25 papers between 2018 and 2024.

Collaborative distances:

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

2024

Hypermultiplexed Integrated Tensor Optical Processor.

Shaoyuan Ou, Alexander Sludds, Ryan Hamerly, Ke Zhang, Hanke Feng, Eric Zhong, Cheng Wang, Dirk R. Englund, Mengjie Yu, Zaijun Chen

CoRR, 2024

2023

A Phase-Optimal Linear Photonic Architecture.

Ryan Hamerly, Alexander Sludds, Dirk R. Englund

Proceedings of the International Conference on Photonics in Switching and Computing, 2023

Numerical Modelling and Characterization of Active Silicon Ring Resonators.

Kambiz Jamshidi, Mircea Catuneanu, Menglong He, Abdou Shetewy, Arezoo Zarif, Sourav Dev, Hrishikesh Vithalani, Shiyao Fang, David Heydari, Ryan Hamerly, Hideo Mabuchi

Proceedings of the 23rd International Conference on Transparent Optical Networks, 2023

2022

Transferable Learning on Analog Hardware.

Sri Krishna Vadlamani, Dirk R. Englund, Ryan Hamerly

CoRR, 2022

A Self-Similar Sine-Cosine Fractal Architecture for Multiport Interferometers.

Jasvith Raj Basani, Sri Krishna Vadlamani, Saumil Bandyopadhyay, Dirk R. Englund, Ryan Hamerly

CoRR, 2022

Single chip photonic deep neural network with accelerated training.

Saumil Bandyopadhyay, Alexander Sludds, Stefan Krastanov, Ryan Hamerly, Nicholas C. Harris, Darius Bunandar, Matthew Streshinsky, Michael Hochberg, Dirk R. Englund

CoRR, 2022

Frequency-Encoded Deep Learning with Speed-of-Light Dominated Latency.

Ronald Davis, Zaijun Chen, Ryan Hamerly, Dirk R. Englund

CoRR, 2022

Deep Learning with Coherent VCSEL Neural Networks.

Zaijun Chen, Alexander Sludds, Ronald Davis, Ian Christen, Liane Bernstein, Tobias Heuser, Niels Heermeier, James A. Lott, Stephan Reitzenstein, Ryan Hamerly, Dirk R. Englund

CoRR, 2022

Netcast: Low-Power Edge Computing with WDM-defined Optical Neural Networks.

Ryan Hamerly, Alexander Sludds, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Dirk R. Englund

CoRR, 2022

Single-Shot Optical Neural Network.

Liane Bernstein, Alexander Sludds, Christopher Panuski, Sivan Trajtenberg-Mills, Ryan Hamerly, Dirk R. Englund

CoRR, 2022

Delocalized Photonic Deep Learning on the Internet's Edge.

Alexander Sludds, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Jared Cochrane, Liane Bernstein, Darius Bunandar, P. Ben Dixon, Scott A. Hamilton, Matthew Streshinsky, Ari Novack, Tom Baehr Jones, Michael Hochberg, Manya Ghobadi, Ryan Hamerly, Dirk R. Englund

CoRR, 2022

WDM-Enabled Photonic Edge Computing.

Alexander Sludds, Ryan Hamerly, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Manya Ghobadi, Dirk R. Englund

Proceedings of the 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), 2022

Coherent VCSEL Network Computing.

Zaijun Chen, Alexander Sludds, Ronald Davis, Ian Christen, Lamia Ateshian, Liane Bernstein, Tobias Heuser, Niels Heermeier, James A. Lott, Stephan Reitzenstein, Ryan Hamerly, Dirk R. Englund

Proceedings of the 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), 2022

Demonstration of WDM-Enabled Ultralow-Energy Photonic Edge Computing.

Alexander Sludds, Ryan Hamerly, Saumil Bandyopadhyay, Zhizhen Zhong, Zaijun Chen, Liane Bernstein, Manya Ghobadi, Dirk R. Englund

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

Design of Asymptotically Perfect Linear Feedforward Photonic Circuits.

Ryan Hamerly, Saumil Bandyopadhyay, Alexander Sludds, Dirk R. Englund

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

2021

Infinitely Scalable Multiport Interferometers.

Ryan Hamerly, Saumil Bandyopadhyay, Dirk R. Englund

CoRR, 2021

Stability of Self-Configuring Large Multiport Interferometers.

Ryan Hamerly, Saumil Bandyopadhyay, Dirk R. Englund

CoRR, 2021

Accurate Self-Configuration of Rectangular Multiport Interferometers.

Ryan Hamerly, Saumil Bandyopadhyay, Dirk R. Englund

CoRR, 2021

Hardware error correction for programmable photonics.

Saumil Bandyopadhyay, Ryan Hamerly, Dirk R. Englund

CoRR, 2021

IOI: In-network Optical Inference.

Zhizhen Zhong, Weiyang Wang, Manya Ghobadi, Alexander Sludds, Ryan Hamerly, Liane Bernstein, Dirk R. Englund

Proceedings of the OptSys '21: Proceedings of the ACM SIGCOMM 2021 Workshop on Optical Systems, 2021

Robust Zero-Change Self-Configuration of the Rectangular Mesh.

Ryan Hamerly, Saumil Bandyopadhyay, Dirk R. Englund

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

2020

Freely scalable and reconfigurable optical hardware for deep learning.

Liane Bernstein, Alexander Sludds, Ryan Hamerly, Vivienne Sze, Joel S. Emer, Dirk R. Englund

CoRR, 2020

2019

A Review on the Applications and Challenges of Active Silicon Ring Resonators.

Kambiz Jamshidi, Mircea Catuneanu, Nirav Annavarapu, Sourav Dev, Shahryar Sabouri, Ryan Hamerly, Dodd Gray, Christopher Rogers, David Heydari, Hideo Mabuchi

Proceedings of the 21st International Conference on Transparent Optical Networks, 2019

2018

Large-Scale Optical Neural Networks based on Photoelectric Multiplication.

Ryan Hamerly, Alex Sludds, Liane Bernstein, Marin Soljacic, Dirk R. Englund

CoRR, 2018

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, Ryoichi Kasahara, Shoko Utsunomiya, Satoshi Kako, Ken-ichi Kawarabayashi, Robert L. Byer, Martin M. Fejer, Hideo Mabuchi, Eleanor Gilbert Rieffel, Hiroki Takesue, Yoshihisa Yamamoto

CoRR, 2018