Duc-Hung Le

COMBA-PROMPT: Comprehensive Benchmark and Augmentation for Verilog Generation Leveraging Dual-LLM Prompting

2025

The rapid advancement of Large Language Models (LLMs) has shown significant potential in RTL design, but challenges remain, particularly with naive few-shot prompting methods in both RTL generation and refinement. To address these, we introduce …

An Optimized Hybrid Quantum-Classical Neural Network Model for Handwritten Digit Classification

2025

Quantum computers are the latest dream of humans in solving nondeterministic polynomial problems. These problems include machine learning and object classification. However, commercial quantum computers are still not available. In the meantime, scientists developed hybrid …