Peter L. McMahon

According to our database, Peter L. McMahon authored at least 30 papers between 2009 and 2025.

Collaborative distances:

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

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

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, Xinlun Cai, Marcello Calvanese Strinati, Burcu Canakci, Benoît Charbonnier, Mario Chemnitz, Yitong Chen, Stanley Cheung, Jeff Chiles, Suyeon Choi, Demetrios N. Christodoulides, Lukas Chrostowski, J. Chu, James H. Clegg, Daniel Cletheroe, Claudio Conti, Qionghai Dai, Luigi Di Lauro, Nikolaos-Panteleimon Diamantopoulos, Niyazi Ulas Dinç, Jacob Ewaniuk, Shanhui Fan, Lu Fang, Riccardo Franchi, Pedro J. Freire, Silvia Gentilini, Sylvain Gigan, Gian Luca Giorgi, Christos Gkantsidis, Jannes Gladrow, Elena Goi, M. Goldmann, A. Grabulosa, Min Gu, Xianxin Guo, Matej Hejda, Folkert Horst, Jih-Liang Hsieh, Jianqi Hu, Juejun Hu, Chaoran Huang, Antonio Hurtado, Lina Jaurigue, Kirill P. Kalinin, Morteza Kamalian-Kopae, Douglas J. Kelly, Mercedeh Khajavikhan, Heiner Kremer, Jérémie Laydevant, Joshua Lederman, Jongheon Lee, Daan Lenstra, Gordon H. Y. Li, Mo Li, Yuhang Li, Xing Lin, Zhongjin Lin, Mieszko Lis, Kathy Lüdge, Alessio Lugnan, Alessandro Lupo, A. I. Lvovsky, Egor Manuylovich, Alireza Marandi, Federico Marchesin, Serge Massar, Adam N. McCaughan, Peter L. McMahon, Miltiadis Moralis-Pegios, Roberto Morandotti, Christophe Moser, David J. Moss, Avilash Mukherjee, Mahdi Nikdast, Bert J. Offrein, Ilker Oguz, Bakhrom G. Oripov, Greg O'Shea, Aydogan Ozcan, Francesca Parmigiani, Sudeep Pasricha, Fabio Pavanello, Lorenzo Pavesi, Nicola Peserico, Lucinda Pickup, Davide Pierangeli, Nikos Pleros, Xavier Porte, Bryce A. Primavera

CoRR, January, 2025

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., November, 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

The physics of optical computing.

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

Roadmap for Unconventional Computing with Nanotechnology.

Giovanni Finocchio, Supriyo Bandyopadhyay, Peng Lin, Gang Pan, J. Joshua Yang, Riccardo Tomasello, Christos Panagopoulos, Mario Carpentieri, Vito Puliafito, Johan Åkerman, Hiroki Takesue, Amit Ranjan Trivedi, Saibal Mukhopadhyay, Kaushik Roy, Vinod K. Sangwan, Mark C. Hersam, Anna Giordano, Huynsoo Yang, Julie Grollier, Kerem Yunus Çamsari, Peter L. McMahon, Supriyo Datta, Jean Anne C. Incorvia, Joseph S. Friedman, Sorin Cotofana, Florin Ciubotaru, Andrii V. Chumak, Azad J. Naeemi, Brajesh Kumar Kaushik, Yao Zhu, Kang Wang, Belita Koiller, Gabriel Aguilar, Guilherme P. Temporão, Kremena Makasheva, Aida Todri-Sanial, Jennifer Hasler, William Levy, Vwani Roychowdhury, Samiran Ganguly, Avik W. Ghosh, Davi Rodriquez, Satoshi Sunada, Karin Everschor-Sitte, Amit Lal, Shubham Jadhav, Massimiliano Di Ventra, Yuriy V. Pershin, Kosuke Tatsumura, Hayato Goto

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

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

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

Attention-based quantum tomography.

Peter Cha, Paul Ginsparg, Felix Wu, Juan Carrasquilla, Peter L. McMahon, Eun-Ah Kim

Mach. Learn. Sci. Technol., 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

Regularized Ising Formulation for Near-Optimal MIMO Detection using Quantum Inspired Solvers.

Abhishek Kumar Singh, Kyle Jamieson, Peter L. McMahon, Davide Venturelli

Proceedings of the IEEE Global Communications Conference, 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

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, Erik Peterson, Peter L. McMahon, Jakob H. Macke, Kyle Cranmer, Jiaxin Zhang, Haruko M. Wainwright, Adi Hanuka, Manuela Veloso, Samuel Assefa, Stephan Zheng, Avi Pfeffer

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

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

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

2012

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, Martin Kamp, Sven Höfling, Robert H. Hadfield, Alfred Forchel, Martin M. Fejer, Yoshihisa Yamamoto

Nat., 2012

2010

SeqHive: A Reconfigurable Computer Cluster for Genome Re-sequencing.

Kristian Stevens, Henry Chen, Terry Filiba, Peter L. McMahon, Yun S. Song

Proceedings of the International Conference on Field Programmable Logic and Applications, 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

Proceedings of the ACM/SIGDA 18th International Symposium on Field Programmable Gate Arrays, 2010

A Large-Scale Architecture for Restricted Boltzmann Machines.

Sang Kyun Kim, Peter Leonard McMahon, Kunle Olukotun

Proceedings of the 18th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2010

2009

A highly scalable Restricted Boltzmann Machine FPGA implementation.

Sang Kyun Kim, Lawrence C. McAfee, Peter Leonard McMahon, Kunle Olukotun

Proceedings of the 19th International Conference on Field Programmable Logic and Applications, 2009