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QuATON: Quantization Aware Training of Optical Neurons
March 22, 2024, 4:43 a.m. | Hasindu Kariyawasam, Ramith Hettiarachchi, Quansan Yang, Alex Matlock, Takahiro Nambara, Hiroyuki Kusaka, Yuichiro Kunai, Peter T C So, Edward S Boyde
cs.LG updates on arXiv.org arxiv.org
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 …
abstract advances arxiv cs.lg current eess.iv fabrication light linear micro neurons operations optical physics.optics precision processors quantization scale speed training type
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