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20232026
most citedEntanglement Structure Detection via Computer Vision

9 citations · 32 across the 10 of their papers we have counts for

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10 papers

quant-ph2026

Full Inseparability and Genuine Multipartite Entanglement Coincide for Finite-Mode Gaussian States

Yu Yang, Yuhang Wang, Chunxiao Du +6

For general mixed states, entanglement across every bipartition need not imply genuine multipartite entanglement (GME), because a biseparable decomposition may switch the separable…

quant-ph2026

Large Scale Entanglement Structure Detection in 100-Qubit Systems via Local Joint Measurements

Rui Li, Yuhang Wang, Chunxiao Du +5

Identifying the entanglement structure of a many-body quantum state, namely how its constituents partition into unentangled blocks, is a central task in quantum information science…

quant-ph2026

An Exponential Advantage for Adaptive Tomography of Structured States under Pauli Basis Measurements

Alireza Goldar, Zhen Qin, Zhihui Zhu +2

Broad claims about whether adaptivity helps in quantum state tomography can be misleading unless the state family, measurement architecture, and error metric are specified carefull…

quant-ph2026

Calibrating the Role of Entanglement in Variational Quantum Algorithms from a Geometric Perspective

Chunxiao Du, Yang Zhou, Zhichen Huang +4

Calibrating the role of entanglement in quantum algorithms is a crucial task in the development of quantum computing. Most existing studies have primarily focused on how the static…

quant-ph2025★ 1 cited

Diffusion-Enhanced Optimization of Variational Quantum Eigensolver for General Hamiltonians

Shikun Zhang, Zheng Qin, Yongyou Zhang +4

Variational quantum algorithms (VQAs) have emerged as a promising approach for achieving quantum advantage on current noisy intermediate-scale quantum devices. However, their large…

quant-ph2024★ 5 cited

High-dimentional Multipartite Entanglement Structure Detection with Low Cost

Rui Li, Shikun Zhang, Zheng Qin +3

Quantum entanglement detection and characterization are crucial for various quantum information processes. Most existing methods for entanglement detection rely heavily on a comple…

quant-ph2024★ 5 cited

Machine-Learning Insights into the Entanglement-trainability Correlation of Parameterized Quantum Circuits

Shikun Zhang, Yang Zhou, Zheng Qin +4

Variational quantum algorithms (VQAs) have emerged as the leading strategy to obtain quantum advantage on the current noisy intermediate-scale devices. However, their entanglement-…

quant-ph2024★ 9 cited

Entanglement Structure Detection via Computer Vision

Rui Li, Junling Du, Zheng Qin +4

Quantum entanglement plays a pivotal role in various quantum information processing tasks. However, there still lacks a universal and effective way to detecting entanglement struct…

quant-ph2023★ 4 cited

Single entanglement connection architecture between multi-layer bipartite Hardware Efficient Ansatz

Shikun Zhang, Zheng Qin, Yang Zhou +3

Variational quantum algorithms (VQAs) are among the most promising algorithms to achieve quantum advantages in the NISQ era. One important challenge in implementing such algorithms…

quant-ph2023★ 8 cited

Applicability of Measurement-based Quantum Computation towards Physically-driven Variational Quantum Eigensolver

Zheng Qin, Xiufan Li, Yang Zhou +4

Variational quantum algorithms are considered one of the most promising methods for obtaining near-term quantum advantages; however, most of these algorithms are only expressed in…