16 citations · 45 across the 9 of their papers we have counts for
9 papers
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…
Quantum Algorithm for Unsupervised Anomaly Detection
MingChao Guo, ShiJie Pan, WenMin Li +5
Anomaly detection, an important branch of machine learning, plays a critical role in fraud detection, health care, intrusion detection, military surveillance, etc. As one of the mo…
Quantum Alternating Operator Ansatz for Solving the Minimum Exact Cover Problem
Sha-Sha Wang, Hai-Ling Liu, Su-Juan Qin +2
The Quantum Alternating Operator Ansatz (QAOA+) is an extension of the Quantum Approximate Optimization Algorithm (QAOA), where the search space is smaller in solving constrained c…
Quantum Algorithm for Anomaly Detection of Sequences
Ming-Chao Guo, Hai-Ling Liu, Shi-Jie Pan +5
Anomaly detection of sequences is a hot topic in data mining. Anomaly Detection using Piecewise Aggregate approximation in the Amplitude Domain (called ADPAAD) is one of the widely…
Quantum discriminative canonical correlation analysis
Yong-Mei Li, Hai-Ling Liu, Shi-Jie Pan +3
Discriminative Canonical Correlation Analysis (DCCA) is a powerful supervised feature extraction technique for two sets of multivariate data, which has wide applications in pattern…
Three-tangle for high-rank mixed states
Shu-Juan He, Xiao-Hong Wang, Shao-Ming Fei +2
A family of rank-n (n=5,6,7,8) three-qubit mixed states are constructed. The explicit expressions for the three-tangle and optimal decompositions for all these states are given. Th…