English(EN) Wavelength Diversity Expands the Expressive Power of Optical Computing

波长分集提高了光学计算的表达能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-16 07:42

研究人员已经证明，使用多种波长的光可以显著增强光学计算的表达能力。通过使用共享相位编码器的波长分集，光学处理器可以更准确地表示复杂的非线性函数。与单色处理器相比，这种方法将均方误差降低了100多倍，并能够使用紧凑的衍射处理器同时逼近数千个不同的非线性函数。 AI

影响为AI和机器学习应用中更强大、更准确的光学硬件提供了潜力。

排序理由研究论文，详细介绍了增强光学计算能力的新颖方法。[lever_c_demoted from research: ic=1 ai=0.7]

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arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Aydogan Ozcan · 2026-10-16 07:42

波长分集扩展了光学计算的表达能力

Universal function approximation underpins neural networks' capacity to represent nonlinear relationships, but realizing this capability in optical hardware requires engineering the computational features encoded in light. Here, we show that wavelength diversity enhances optical …