8 papers
Fast Trainable Multilinear Bases for Image Compression
Shiwen An, Zhongyi Ni, Huanhai Zhou +1
The Discrete Fourier Transform, the Discrete Cosine Transform, and their block-wise variants underpin most deployed image and video codecs. Their effectiveness rests on three prope…
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…
Ergotropy of quantum many-body scars
Zhaohui Zhi, Qingyun Qian, Jin-Guo Liu +1
Quantum many-body scars break ergodicity and evade thermalization, resulting in sub-volume law entanglement entropy even with high energy density. While their quantum correlations…
Problem Reductions at Scale: Agentic Integration of Computationally Hard Problems
Xi-Wei Pan, Shi-Wen An, Jin-Guo Liu
Solving an NP-hard optimization problem often requires reformulating it for a specific solver -- quantum hardware, a commercial optimizer, or a domain heuristic. A tool for polynom…
Phase-Stable Hologram Updates for Large-Scale Neutral-Atom Array Reconfiguration
Erdong Huang, Jiayi Huang, Hongshun Yao +2
Assembling large-scale, defect-free Rydberg atom arrays is a key technology for neutral-atom quantum computation. Dynamic holographic optical tweezers enable the assembly and recon…
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…