1 citations · 2 across the 4 of their papers we have counts for
5 papers
DC-MBQC: A Distributed Compilation Framework for Measurement-Based Quantum Computing
Yecheng Xue, Rui Yang, Zhiding Liang +1
Distributed quantum computing (DQC) is a promising technique for scaling up quantum systems. While significant progress has been made in DQC for quantum circuit models, there exist…
Efficient Classical Sampling from Gaussian Boson Sampling Distributions on Unweighted Graphs
Yexin Zhang, Shuo Zhou, Xinzhao Wang +5
Gaussian Boson Sampling (GBS) is a promising candidate for demonstrating quantum computational advantage and can be applied to solving graph-related problems. In this work, we prop…
Quantum Non-Identical Mean Estimation: Efficient Algorithms and Fundamental Limits
Jiachen Hu, Tongyang Li, Xinzhao Wang +3
We systematically investigate quantum algorithms and lower bounds for mean estimation given query access to non-identically distributed samples. On the one hand, we give quantum me…
Near-Optimal Quantum Coreset Construction Algorithms for Clustering
Yecheng Xue, Xiaoyu Chen, Tongyang Li +1
-Clustering in (e.g., -median and -means) is a fundamental machine learning problem. While near-linear time approximation algorithms were known in the class…
Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret
Han Zhong, Jiachen Hu, Yecheng Xue +2
While quantum reinforcement learning (RL) has attracted a surge of attention recently, its theoretical understanding is limited. In particular, it remains elusive how to design pro…