5 papers
Test-Driven, AI-Assisted Learning: Replacing Lectures with Weekly Closed-Book Tests
Jin-Guo Liu, Shang-Qi Lu, Xin-Ran Shi +2
This paper is an experience report on a 13-week Test-Driven, AI-Assisted (TDAA) redesign of DSAA 3071, Theory of Computation, an upper-level course at the Hong Kong University of S…
Phase-Stable Hologram Updates for Large-Scale Neutral-Atom Array Reconfiguration
Erdong Huang, Jiayi Huang, Hongshun Yao +2
Dynamic holographic optical tweezers provide a programmable route to array assembly and reconfiguration essential for scalable neutral-atom quantum computation. However, phase mism…
Block Coordinate Descent for Dynamic Portfolio Optimization on Finite-Precision Coherent Ising Machines
Keming He, Yuehan Zhang, Hongshun Yao +2
Coherent Ising machines (CIMs) have emerged as specialized quantum hardware for large-scale combinatorial optimization. However, for large instances that remain challenging for cla…
Encoding computationally hard problems in triangular Rydberg atom arrays
Xi-Wei Pan, Huan-Hai Zhou, Yi-Ming Lu +1
Rydberg atom arrays are a promising platform for quantum optimization, encoding computationally hard problems by reducing them to independent set problems with unit-disk graph topo…
Universal quantum computing with a single arbitrary gate
Zhong-Yi Ni, Yu-Sheng Zhao, Jin-Guo Liu
This study presents a roadmap towards utilizing a single arbitrary gate for universal quantum computing. Since two decades ago, it has been widely accepted that almost any single a…