QuATON: Quantization Aware Training of Optical Neurons.

ABSTRACT: Optical processors, built with "optical neurons", can efficiently perform high-dimensional linear operations at the speed of light. Thus they are a promising avenue to accelerate large-scale linear computations. With the current advances in micro-fabrication, such optical processors can now be 3D fabricated, but with a limited precision. This limitation translates to quantization of learnable parameters in optical neurons, and should be handled during the design of the optical processor in order to avoid a model mismatch. Specifically, optical neurons should be trained or designed within the physical-constraints at a predefined quantized precision level. To address this critical issues we propose a physics-informed quantization-aware training framework. Our approach accounts for physical c

SUBMITTER: Kariyawasam H 

PROVIDER: S-EPMC10996779 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature