most citedda4ml: Distributed Arithmetic for Real-time Neural Networks on FPGAs

3 citations · 4 across the 5 of their papers we have counts for

collaborators

19 papers

quant-ph20261 cited

Photonic quantum information with time-bins: Principles and applications

Ashutosh Singh, Anuj Sethia, Leili Esmaeilifar +4

Long-range quantum communication, distributed quantum computing, and sensing applications require robust and reliable ways to encode transmitted quantum information. In this contex…

hep-ex2026

High Multiplicity Trigger for Long-Lived Particles in CMS detector

M. Abbott, D. Acosta, D. Aebi +100

Searches for long-lived particles (LLPs) at the CMS experiment often involve unconventional event topologies that are difficult to efficiently select using standard trigger strateg…

cs.AR2026

HGQ-LUT: Fast LUT-Aware Training and Efficient Architectures for DNN Inference

Chang Sun, Zhiqiang Que, Bakhtiar Zadeh +4

Lookup-table (LUT) based neural networks can deliver ultra-low latency and excellent hardware efficiency on FPGAs by mapping arithmetic operations directly onto the logic primitive…

cs.AR20263 cited

da4ml: Distributed Arithmetic for Real-time Neural Networks on FPGAs

Chang Sun, Zhiqiang Que, Vladimir Loncar +2

Neural networks with a latency requirement on the order of microseconds, like the ones used at the CERN Large Hadron Collider, are typically deployed on FPGAs fully unrolled and pi…

quant-ph2026

High-dimensional quantum communication with scalable photonic entanglement in time and frequency

Kai-Chi Chang, Murat Can Sarihan, Nicky Kai Hong Li +13

High-dimensional photonic entanglement holds significant promise for advancing quantum communication, computation, and metrology. For example, large-alphabet quantum communication…

cs.LG2026

JetFormer: A Scalable and Efficient Transformer for Jet Tagging from Offline Analysis to FPGA Triggers

Ruoqing Zheng, Chang Sun, Qibin Liu +7

We present JetFormer, a versatile and scalable encoder-only Transformer architecture for particle jet tagging at the Large Hadron Collider (LHC). Unlike prior approaches that are o…