From the 1 of 4 linked papers with an AI index.
4 papers
Quantum Speedups for Stochastic Optimization with Heavy-Tailed Noise
Bin Luo, Chengchang Liu, Jonathan Allcock +2
The paper proposes quantum mean estimators for heavy‑tailed random variables and uses them to design quantum stochastic gradient descent methods that achieve lower query complexity…
A Scalable Distributed Quantum Optimization Framework via Factor Graph Paradigm
Yuwen Huang, Xiaojun Lin, Bin Luo +1
Distributed quantum computing (DQC) connects many small quantum processors into a single logical machine, offering a practical route to scalable quantum computation. However, most…
Quantum Algorithms for Finite-horizon Markov Decision Processes
Bin Luo, Yuwen Huang, Jonathan Allcock +3
In this work, we design quantum algorithms that are more efficient than classical algorithms to solve time-dependent and finite-horizon Markov Decision Processes (MDPs) in two dist…
Hybrid Satellite-Ground Deployments for Web3 DID: System Design and Performance Analysis
Yalin Liu, Zhigang Yan, Bingyuan Luo +5
The emerging Web3 has great potential to provide worldwide decentralized services powered by global-range data-driven networks in the future. To ensure the security of Web3 service…