Publications by authors named "Xuyu Deng"
The rapid advancement of generative artificial intelligence (AI) in recent years has profoundly reshaped modern lifestyles, necessitating a revolutionary architecture to support the growing demands for computational power. Cloud computing has become the driving force behind this transformation. However, it consumes significant power and faces computation security risks due to the reliance on extensive data centers and servers in the cloud.
View Article and Find Full Text PDFThe escalating demands of compute-intensive applications urgently necessitate the adoption of optical interconnect technologies to overcome bottlenecks in scaling computing systems. This requires fully exploiting the inherent parallelism of light across scalable dimensions for data loading. Here we experimentally demonstrate a synergy of wavelength- and mode- multiplexing combined with high-order modulation formats to achieve multi-tens-of-terabits-per-second optical interconnects using foundry-compatible silicon photonic circuits.
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- The study focuses on using inverse design techniques to create ultra-compact dual-band wavelength demultiplexing power splitters (WDPSs), which can split optical signals and are suited for dual-band passive optical networks (PONs).
- By employing a novel two-step direct binary search method, the researchers achieved a significant reduction in device footprint (12.77 times smaller) and improved performance compared to traditional design methods.
- The optimized WDPS design, featuring a minimum size of 65 nm, achieved low insertion losses and high crosstalk values, and for the first time, the impact of hyperparameters on optimization-based inverse design has been systematically analyzed, highlighting their importance for future designs