Mahmoud Abdelghany

Broadening the set of algorithms and use-cases for analog combinatorial optimization accelerators

2021

Recent experimental results show how classical accelerators based on analog computing can outperform quantum annealing alternatives in benchmark tasks that require dense connection matrices. In Hewlett Packard Labs, we have been studying two alternatives: integrated …

Experimental Demonstration of Imperfection-Agnostic Local Learning Rules on Photonic Neural Networks with Mach-Zehnder Interferometric Meshes

2024 · arXiv (Cornell University)

Mach-Zehnder Interferometric meshes are attractive for low-loss photonic matrix multiplication but are challenging to program. Using least-squares optimization of directional derivatives, we experimentally demonstrate that desired matrix updates can be implemented agnostic to hardware imperfections. …