3 papers
quant-ph2026
Low-Latency FPGA Control System for Real-Time Neural Network Processing in CCD-Based Trapped-Ion Qubit Measurement
Binglei Lou, Gautham Duddi Krishnaswaroop, Filip Wojcicki +5
Accurate and low-latency qubit state measurement is critical for trapped-ion quantum computing. While deep neural networks (DNNs) have been integrated to enhance detection fidelity…
cs.AR2026
Enhancing LUT-based Deep Neural Networks Inference through Architecture and Connectivity Optimization
Binglei Lou, Ruilin Wu, Philip Leong
Deploying deep neural networks (DNNs) on resource-constrained edge devices such as FPGAs requires a careful balance among latency, power, and hardware resource usage, while maintai…
cs.AR2025
SparseLUT: Sparse Connectivity Optimization for Lookup Table-based Deep Neural Networks
Binglei Lou, Ruilin Wu, Philip Leong
The deployment of deep neural networks (DNNs) on resource-constrained edge devices such as field-programmable gate arrays (FPGAs) requires a careful balance of latency, power, and…