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20202026
most citedReconfigurable non-Abelian geometric phase in hybrid integrated photonics

1 citations · 1 across the 9 of their papers we have counts for

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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

On-chip Multimode Opto-electronic Neural Network

Jinlong Xiang, Youlve Chen, Chaojun Xu +5

Opto-electronic computing combines the complementary strengths of photonics and electronics to deliver ultrahigh computational throughput with high energy efficiency. However, its…

physics.optics2025

Deep Photonic Reservoir Computing with On-chip Nonlinearity

Jinlong Xiang, Youlve Chen, Yuchen Yin +6

Reservoir computing, renowned for its low training cost, has emerged as a promising lightweight paradigm for efficient spatiotemporal processing,it remains challenging to realize d…

physics.optics2025★ 1 cited

Reconfigurable non-Abelian geometric phase in hybrid integrated photonics

Youlve Chen, Jiaxin Zhang, Jinlong Xiang +4

The non-Abelian geometric phase possesses the capability of enabling robust and fault-resilient unitary transformations, making it a cornerstone of holonomic quantum computation. T…

physics.optics2025

Observation of generic U(m) non-Abelian holonomy in photonics

Youlve Chen, Jinlong Xiang, An He +3

Non-Abelian geometric phases form the foundation of fault-tolerant holonomic quantum computation. An "all-geometric" approach leveraging these phases enables robust unitary operati…

physics.optics2025

Direct tensor processing with coherent light

Yufeng Zhang, Xiaobing Liu, Chenguang Yang +7

Tensor processing is the cornerstone of modern technological advancements, powering critical applications in data analytics and artificial intelligence. While optical computing off…