363 citations · 1.2k across the 45 of their papers we have counts for
7 papers · 2 filters
A Quantum Federated Learning Framework for Classical Clients
Yanqi Song, Yusen Wu, Shengyao Wu +4
Quantum Federated Learning (QFL) enables collaborative training of a Quantum Machine Learning (QML) model among multiple clients possessing quantum computing capabilities, without…
Non-Markovian Dynamics of Time-Fractional Open Quantum Systems
Dongmei Wei, Hailing Liu, Yongmei Li +3
Applications of Time-Fractional Schrodinger Equations (TFSEs) to quantum processes are instructive for understanding and describing the time behavior of real physical systems. By a…
Trainability Analysis of Quantum Optimization Algorithms from a Bayesian Lens
Yanqi Song, Yusen Wu, Sujuan Qin +3
The Quantum Approximate Optimization Algorithm (QAOA) is an extensively studied variational quantum algorithm utilized for solving optimization problems on near-term quantum device…
A general quantum matrix exponential dimensionality reduction framework based on block-encoding
Yong-Mei Li, Hai-Ling Liu, Shi-Jie Pan +3
As a general framework, Matrix Exponential Dimensionality Reduction (MEDR) deals with the small-sample-size problem that appears in linear Dimensionality Reduction (DR) algorithms.…
Multilevel leapfrogging initialization for quantum approximate optimization algorithm
Xiao-Hui Ni, Bin-Bin Cai, Hai-Ling Liu +3
Recently, Zhou et al. have proposed a novel Interpolation-based (INTERP) strategy to generate the initial parameters for the Parameterized Quantum Circuit (PQC) in Quantum Approxim…
Quantum Speed Limit for Time-Fractional Open Systems
Dongmei Wei, Hailing Liu, Yongmei Li +3
The Time-Fractional Schrödinger Equation (TFSE) is well-adjusted to study a quantum system interacting with its dissipative environment. The Quantum Speed Limit (QSL) time captures…