Peter L. McMahon

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 20

Top Topics

Backpropagation Algorithm

Scalar Multiplication

Quantum Inspired

Top Venues

Mach. Learn. Sci. Technol.

IEEE Trans. Wirel. Commun.

Publications

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
Scaling on-chip photonic neural processors using arbitrarily programmable wave propagation. CoRR (2024)
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
Training of Physical Neural Networks. CoRR (2024)
Maxwell G. Anderson, Shi-Yuan Ma, Tianyu Wang, Logan G. Wright, Peter L. McMahon
Optical Transformers. Trans. Mach. Learn. Res. 2024 (2024)
Peter L. McMahon
The physics of optical computing. CoRR (2023)
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 Camsari, Peter L. McMahon, Supriyo Datta, Jean Anne C. Incorvia, Joseph S. Friedman, Sorin Cotofana, Florin Ciubotaru, Andrii Chumak, Azad J. Naeemi, Brajesh Kumar Kaushik, Yao Zhu, Kang Wang, Belita Koiller, Gabriel Aguilar, Guilherme Temporão, Kremena Makasheva, Aida Tordi-Sanial, Jennifer Hasler, William Levy, Vwani Roychowdhury, Samiran Ganguly, Avik W. Ghosh, Davi Rodriquez, Satoshi Sunada, Karin Evershor-Sitte, Amit Lal, Shubham Jadhav, Massimiliano Di Ventra, Yuriy V. Pershin, Kosuke Tatsumura, Hayato Goto
Roadmap for Unconventional Computing with Nanotechnology. CoRR (2023)
Jérémie Laydevant, Logan G. Wright, Tianyu Wang, Peter L. McMahon
The hardware is the software. CoRR (2023)
Maxwell G. Anderson, Shi-Yuan Ma, Tianyu Wang, Logan G. Wright, Peter L. McMahon
Optical Transformers. CoRR (2023)
Shi-Yuan Ma, Tianyu Wang, Jérémie Laydevant, Logan G. Wright, Peter L. McMahon
Quantum-noise-limited optical neural networks operating at a few quanta per activation. CoRR (2023)
Tianyu Wang, Mandar M. Sohoni, Logan G. Wright, Martin M. Stein, Shi-Yuan Ma, Tatsuhiro Onodera, Maxwell G. Anderson, Peter L. McMahon
Image sensing with multilayer, nonlinear optical neural networks. CoRR (2022)
Peter Cha, Paul Ginsparg, Felix Wu, Juan Carrasquilla, Peter L. McMahon, Eun-Ah Kim
Attention-based quantum tomography. Mach. Learn. Sci. Technol. 3 (1) (2022)
Abhishek Kumar Singh, Kyle Jamieson, Peter L. McMahon, Davide Venturelli
Ising Machines' Dynamics and Regularization for Near-Optimal MIMO Detection. IEEE Trans. Wirel. Commun. 21 (12) (2022)
Abhishek Kumar Singh, Kyle Jamieson, Peter L. McMahon, Davide Venturelli
Regularized Ising Formulation for Near-Optimal MIMO Detection using Quantum Inspired Solvers. GLOBECOM (2022)
Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein, Tianyu Wang, Darren T. Schachter, Zoey Hu, Peter L. McMahon
Deep physical neural networks trained with backpropagation. Nat. 601 (7894) (2022)
Tianyu Wang, Shi-Yuan Ma, Logan G. Wright, Tatsuhiro Onodera, Brian C. Richard, Peter L. McMahon
A Photonic Neural Network Using < 1 Photon per Scalar Multiplication. HCS (2021)
Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein, Tianyu Wang, Darren T. Schachter, Zoey Hu, Peter L. McMahon
Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems. CoRR (2021)
Abhishek Kumar Singh, Kyle Jamieson, Davide Venturelli, Peter L. McMahon
Ising Machines' Dynamics and Regularization for Near-Optimal Large and Massive MIMO Detection. CoRR (2021)
Tianyu Wang, Shi-Yuan Ma, Logan G. Wright, Tatsuhiro Onodera, Brian C. Richard, Peter L. McMahon
An optical neural network using less than 1 photon per multiplication. CoRR (2021)
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 Macke, Kyle Cranmer, Jiaxin Zhang, Haruko M. Wainwright, Adi Hanuka, Manuela Veloso, Samuel Assefa, Stephan Zheng, Avi Pfeffer
Simulation Intelligence: Towards a New Generation of Scientific Methods. CoRR (2021)
Peter Cha, Paul Ginsparg, Felix Wu, Juan Carrasquilla, Peter L. McMahon, Eun-Ah Kim
Attention-based Quantum Tomography. CoRR (2020)
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
Scaling advantages of all-to-all connectivity in physical annealers: the Coherent Ising Machine vs. D-Wave 2000Q. CoRR (2018)
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
Quantum-dot spin-photon entanglement via frequency downconversion to telecom wavelength. Nat. 491 (7424) (2012)
Kristian Stevens, Henry Chen, Terry Filiba, Peter L. McMahon, Yun S. Song
SeqHive: A Reconfigurable Computer Cluster for Genome Re-sequencing. FPL (2010)
Kristian Stevens, Henry Chen, Terry Filiba, Peter L. McMahon, Yun S. Song
Application of a reconfigurable computing cluster to ultra high throughput genome resequencing (abstract only). FPGA (2010)