3 papers
cs.LG2025
VERIRL: Boosting the LLM-based Verilog Code Generation via Reinforcement Learning
Fu Teng, Miao Pan, Xuhong Zhang +6
Recent advancements in code generation have shown remarkable success across software domains, yet hardware description languages (HDLs) such as Verilog remain underexplored due to…
quant-ph2025
Experimental realization of the bucket-brigade quantum random access memory
Fanhao Shen, Yujie Ji, Debin Xiang +20
Quantum random access memory (QRAM) enables efficient classical data access for quantum computers -- a prerequisite for many quantum algorithms to achieve quantum speedup. Despite…
quant-ph2025
Choco-Q: Commute Hamiltonian-based QAOA for Constrained Binary Optimization
Debin Xiang, Qifan Jiang, Liqiang Lu +2
Constrained binary optimization aims to find an optimal assignment to minimize or maximize the objective meanwhile satisfying the constraints, which is a representative NP problem…