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physics.optics2026
Artificial Intelligence in a Photonic Temporal Processor
Youlve Chen, Jinlong Xiang, Yimin Hu +13
Optical neural networks (ONNs) promise high-throughput and energy-efficient artificial intelligence, yet essentially all implementations so far encode information across space eith…
physics.optics2026
Inverse-designed meta processing units for multi-task near-field photonic computing
Chu Wu, Zeyu Cai, Songtao Yang +5
Integrated photonic neural networks require optical operators that are simultaneously compact, matrix-general and compatible with task-level reconfigurability. Here we introduce a…
physics.optics2026
Fully multiplexed photonic tensor computing
Aolong Sun, Junhao Zhao, Fangchen Hu +21
Tensor operations dominate modern computational workloads, yet their further acceleration demands hardware platforms with greater parallelism. Although photonic computing provides…