Optical Signal Processing: Neuromorphic Computing and Quantum Information Processing

Sunday, 06 June 05:00 – 07:30


Xi (Vivian) Chen, Nokia, USA
Fred Kish, North Carolina State Univ., USA
Chigo Okonkwo, Technische Universiteit Eindhoven, Netherlands


Recently, there has been a resurging interest in using light to build processors to meet computational demands and potentially enable new applications such as high-performance computing, solving optimization problems, accelerating deep learning, quantum processing, etc. Compared to digital signal processing, optical processing offers unique advantages such as ultra-fast processing time and massive parallelism. Coupled with the advances in photonic integration and a large-scale semiconductor manufacturing ecosystem, devices use optical signal processing can be made small form factor and potentially low power consumption. This workshop will cover the current status, prospects, and challenges of the field in using light for neuromorphic computing, machine learning, and quantum information processing. 


Neuromorphic Computing

Sylvain Gigan, Sorbonne Université​, France

Huaiyu Meng, Lightelligence Inc., USA

Paul Prucnal, Princeton Univ., USA

Kathy Ludge, TU Berlin, Germany

Quantum Information Processing

Andrew Weiner, Purdue, USA

Mark Thompson, PsiQuantum, USA

Jelena Vuckovic, Stanford Univ., USA