activity
20192025
most citedQuantum Anomaly Detection with Density Estimation and Multivariate Gaussian Distribution

48 citations · 187 across the 20 of their papers we have counts for

collaborators

20 papers

quant-ph2025★ 1 cited

Decoding Quantum Search Advantage: The Critical Role of State Properties in Random Walks

Si-Qi Zhou, Jin-Min Liang, Ziheng Ding +3

Quantum algorithms have demonstrated provable speedups over classical counterparts, yet establishing a comprehensive theoretical framework to understand the quantum advantage remai…

quant-ph2025

Static and dynamic coherence fraction in the Bernstein-Vazirani algorithm

Si-Qi Zhou, Jin-Min Liang, Jiayin Peng +3

Quantum entanglement and coherence are crucial resources in quantum information theory. In some scenarios, however, it is not necessary to directly estimate entanglement or coheren…

quant-ph2025★ 6 cited

Coherence Fraction in Grover Search Algorithm

Si-Qi Zhou, Hai Jin, Jin-Min Liang +3

The question of which resources drive the advantages in quantum algorithms has long been a fundamental challenge. While entanglement and coherence are critical to many quantum algo…

quant-ph2025★ 1 cited

Variational-toolbox-based separability detection of multiqubit states

Jin-Min Liang, Shao-Ming Fei, Qiongyi He

Parametrized quantum circuits (PQCs) are crucial in variational quantum algorithms. While it is commonly believed that the optimal PQC is solely used to reproduce the target state,…

quant-ph2025★ 1 cited

Detecting high-dimensional entanglement by randomized product projections

Jin-Min Liang, Shuheng Liu, Shao-Ming Fei +1

The characterization of high-dimensional entanglement plays a crucial role in the field of quantum information science. Conventional entanglement criteria measuring coherent superp…

quant-ph2024★ 3 cited

Real randomized measurements for analyzing properties of quantum states

Jin-Min Liang, Satoya Imai, Shuheng Liu +3

Randomized measurements are useful for analyzing quantum systems especially when quantum control is not fully perfect. However, their practical realization typically requires multi…

quant-ph2023★ 5 cited

Sharing EPR steering between sequential pairs of observers

Qiao-Qiao Lv, Jin-Min Liang, Zhi-Xi Wang +1

The recycling of quantum correlations has attracted widespread attention both theoretically and experimentally. Previous works show that bilateral sharing of nonlocality is impossi…

quant-ph2023★ 3 cited

Ising Hamiltonians for Constrained Combinatorial Optimization Problems and the Metropolis-Hastings Warm-Starting Algorithm

Hui-Min Li, Jin-Min Liang, Zhi-Xi Wang +1

Quantum approximate optimization algorithm (QAOA) is a promising variational quantum algorithm for combinatorial optimization problems. However, the implementation of QAOA is limit…

quant-ph2023★ 2 cited

Parameterized coherence measure

Meng-Li Guo, Zhi-Xiang Jin, Jin-Min Liang +2

Quantifying coherence is an essential endeavor for both quantum mechanical foundations and quantum technologies. We present a bona fide measure of quantum coherence by utilizing th…

quant-ph2023★ 1 cited

Bounds on positive operator-valued measure based coherence of superposition

Meng-Li Guo, Jin-Min Liang, Bo Li +2

Quantum coherence is a fundamental feature of quantum physics and plays a significant role in quantum information processing. By generalizing the resource theory of coherence from…

quant-ph2023★ 6 cited

Assisted quantum simulation of open quantum systems

Jin-Min Liang, Qiao-Qiao Lv, Zhi-Xi Wang +1

Universal quantum algorithms (UQA) implemented on fault-tolerant quantum computers are expected to achieve an exponential speedup over classical counterparts. However, the deep qua…

quant-ph2023★ 10 cited

Unified multivariate trace estimation and quantum error mitigation

Jin-Min Liang, Qiao-Qiao Lv, Zhi-Xi Wang +1

Calculating the trace of the product of -qubit density matrices (multivariate trace) is a crucial subroutine in quantum error mitigation and information measures estimation.…

quant-ph2022★ 9 cited

Improved iterative quantum algorithm for ground-state preparation

Jin-Min Liang, Qiao-Qiao Lv, Shu-Qian Shen +3

Finding the ground state of a Hamiltonian system is of great significance in many-body quantum physics and quantum chemistry. We propose an improved iterative quantum algorithm to…

quant-ph2022★ 1 cited

Revealing hidden standard tripartite nonlocality by local filtering

Qiao-Qiao Lv, Jin-Min Liang, Zhi-Xi Wang +1

Quantum nonlocality is a kind of significant quantum correlation that is stronger than quantum entanglement and EPR steering. The standard tripartite nonlocality can be detected by…

quant-ph2022★ 15 cited

Quantum gradient descent algorithms for nonequilibrium steady states and linear algebraic systems

Jin-Min Liang, Shi-Jie Wei, Shao-Ming Fei

The gradient descent approach is the key ingredient in variational quantum algorithms and machine learning tasks, which is an optimization algorithm for finding a local minimum of…

quant-ph2022★ 9 cited

Quantum Information Masking in Non-Hermitian Systems and Robustness

Qiao-Qiao Lv, Jin-Min Liang, Zhi-Xi Wang +1

By studying quantum information masking in non-Hermitian quantum systems, we show that mutually orthogonal quantum states can be deterministically masked, while an arbitrary set of…

quant-ph2021★ 17 cited

Quantum algorithms for the generalized eigenvalue problem

Jin-Min Liang, Shu-Qian Shen, Ming Li +1

The generalized eigenvalue (GE) problems are of particular importance in various areas of science engineering and machine learning. We present a variational quantum algorithm for f…

quant-ph2020★ 6 cited

Nonlinear Improvement of Qubit-qudit Entanglement Witnesses

Shu-Qian Shen, Jin-Min Liang, Ming Li +2

The entanglement witness is an important and experimentally applicable tool for entanglement detection. In this paper, we provide a nonlinear improvement of any entanglement witnes…

quant-ph2019★ 43 cited

Variational Quantum Algorithms for Dimensionality Reduction and Classification

Jin-Min Liang, Shu-Qian Shen, Ming Li +1

In this work, we present a quantum neighborhood preserving embedding and a quantum local discriminant embedding for dimensionality reduction and classification. We demonstrate that…

quant-ph2019★ 48 cited

Quantum Anomaly Detection with Density Estimation and Multivariate Gaussian Distribution

Jin-Ming Liang, Shu-Qian Shen, Ming Li +1

We study quantum anomaly detection with density estimation and multivariate Gaussian distribution. Both algorithms are constructed using the standard gate-based model of quantum co…