LPHYS'26. Program:
Seminar 12: Optical Computing and Neural Networks
Co-chairs:
-

Alexander Lvovsky
Department of Physics, University of Oxford, Oxford, United Kingdom
alex.lvovsky@physics.ox.ac.uk -

Peter McMahon
Cornell University, Ithaca, NY, USA
pmcmahon@cornell.edu -

Lu Fang
Tsinghua University, Beijing, China
fanglu@tsinghua.edu.cn
Optical analogue computing methods, including optical neural networks for artificial intelligence and combinatorial optimization.
Schedule:
Monday, 6 July, 2026
- S12.1 (13:30 – 15:30)
- 13:30 – 14:00 L G Wright (Department of Applied Physics, Yale University, New Haven CT, USA)On the Possibility of a Virtuous Cycle Between Photonics and Computing Abstract
- 14:00 – 14:30 W Renninger (The Institute of Optics, University of Rochester, Rochester NY, USA) Offset-Diagonal Computing for Scalable and Sparsity-Enabled Optical Processors Abstract
- 14:30 – 15:00 F A Aflatouni (Electrical and Systems Engineering, University of Pennsylvania, Philadelphia PA, USA) Optical Commuting: From Deep Neural Networks to Using Solvers Abstract
- 15:00 – 15:30 A I Lvovsky, M Filipovich, K Bearne, A Duplinskii (Department of Physics, University of Oxford, Oxford, UK) Quantum Computational Machine Vision Abstract
- S12.2 (16:00 – 18:00)
- 16:00 – 16:30 B Carpinlioglu, U Tegin (Electric and Electronic Engineering, Koç University, Istanbul, Turkey)Scalable and Energy-Efficient Optical Computing Architectures Abstract
- 16:30 – 17:00 A Singha, K Wang (Department of Physics, McGill University, Montréal, Canada) Fisher-Aware Training of Multiplane Light Conversion for Optical Parameter Estimation Abstract
- 17:00 – 17:30 M G Suh (PHI Lab, NTT Research, Sunnyvale, CA, USA) WDM and Hyperspectral MAC: Pathways to Optical Advantage in Short-Reach Systems Abstract
- 17:30 – 18:00 F Cardano (Università degli Studi di Napoli Federico II, Napoli, Italy) Free-Space Photonic Circuits for Spatially Structured Light Abstract
Tuesday, 7 July, 2026
- S12.3 (13:30 – 15:30)
- 13:30 – 14:00 P L McMahon (Applied and Engineering Physics, Cornell University, Ithaca NY, USA), L G Wright (Department of Applied Physics, Yale University, New Haven CT, USA), T Wang (Dept. of ECE/ENG, Boston University, Boston MA, USA), T Onodera (Applied and Engineering Physics, Cornell University, Ithaca NY, USA)Optical Physical Foundation Models: Motivation, Opportunities, and Challenges Abstract
- 14:00 – 14:30 M Hary, A Skalli, L Cardenas-Razo, A Ermolaev (Département d’Optique P. M. Duffieux, FEMTO-ST Institute, UMR CNRS 6174, Besançon, France), M Marciniak, M Gebski, J Lott (Institute of Physics, Lodz University of technology, Wólczańska 217/22190-005 Łódź, Poland, Lodz, Poland), G Genty (Department of Physics, Tampere University of Technology, Tampere, Finland), T Czyszanowski (Institute of Physics, Lodz University of technology, Wólczańska 217/22190-005 Łódź, Poland, Lodz, Poland), J M Dudley, D Brunner (Département d’Optique P. M. Duffieux, FEMTO-ST Institute, UMR CNRS 6174, Besançon, France) Principles and Metrics of Photonic Learning Machines Abstract
- 14:30 – 15:00 R Hamerly (Opticore, Berkeley CA, USA) Large-Scale Photonic Homodyne Tensor Processor Abstract
Wednesday, 8 July, 2026
- S12.4 (13:30 – 15:30)
- 13:30 – 14:00 A Marandi (California Institute of Technology, Pasadena CA, USA)Nonlinear Resonator Networks: From Complex Optics to Advanced Computing and Sensing Abstract
- 14:00 – 14:30 H T Takesue (NTT, Inc., Kanagawa, Japan) Evaluation of Coherent Ising Machine as an Associative Memory Abstract
- 14:30 – 15:00 H Cao (Yale University, New Haven CT, USA) Optical Kernel Machine with Programmable Nonlinearity Abstract
- 15:00 – 15:30 Z Xue, Z Xu, W Wu, Y Jiang, L Fang (Department of Electronic Engineering, Tsinghua University, Beijing, China) Scalable Integrated Photonic Computing Abstract