S12 — Optical Computing and Neural Networks

Seminar Co-Chairs

Alexander Lvovsky

Alexander Lvovsky

University of Oxford, Oxford, United Kingdom

alex.lvovsky@physics.ox.ac.uk

Peter McMahon

Peter McMahon

Cornell University, Ithaca, NY, USA

pmcmahon@cornell.edu

Lu Fang

Lu Fang

Tsinghua University, Beijing, China

fanglu@tsinghua.edu.cn

Programme

Monday, 6 July 2026 · 13:30 – 15:30

13:30 On the Possibility of a Virtuous Cycle Between Photonics and Computing
L G Wright
14:00 Offset-Diagonal Computing for Scalable and Sparsity-Enabled Optical Processors
W Renninger
14:30 Optical Commuting: From Deep Neural Networks to Using Solvers
F A Aflatouni
15:00 Quantum Computational Machine Vision
A I Lvovsky, M Filipovich, K Bearne, and A Duplinskii

Monday, 6 July 2026 · 16:00 – 18:00

16:00 Scalable and Energy-Efficient Optical Computing Architectures
B Carpinlioglu and U Tegin
16:30 Fisher-Aware Training of Multiplane Light Conversion for Optical Parameter Estimation
A Singha and K Wang
17:00 WDM and Hyperspectral MAC: Pathways to Optical Advantage in Short-Reach Systems
M G Suh

Tuesday, 7 July 2026 · 13:30 – 15:30

13:30 Optical Physical Foundation Models: Motivation, Opportunities, and Challenges
P L McMahon, L G Wright, T Wang, and T Onodera
14:00 Free-Space Photonic Circuits for Spatially Structured Light
F Cardano
14:30 Principles and Metrics of Photonic Learning Machines
M Hary, A Skalli, L Cardenas-Razo, A Ermolaev, M Marciniak, M Gebski, J Lott, G Genty, T Czyszanowski, J M Dudley, and D Brunner
15:00 Large-Scale Photonic Homodyne Tensor Processor
R Hamerly

Wednesday, 8 July 2026 · 13:30 – 15:30

13:30 Nonlinear Resonator Networks: From Complex Optics to Advanced Computing and Sensing
A Marandi
14:00 Evaluation of Coherent Ising Machine as an Associative Memory
H T Takesue
14:30 Optical Kernel Machine with Programmable Nonlinearity
H Cao
15:00 Scalable Integrated Photonic Computing
Z Xue, Z Xu, W Wu, Y Jiang, and L Fang

↑