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20232026
most citedEntanglement Structure Detection via Computer Vision

9 citations · 32 across the 12 of their papers we have counts for

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12 papers · 1 filter

quant-ph2026

Nondemolition filtering of an embedded cluster-state scar under continuous local monitoring

Ximo Wang, Xi Zhao, Xiayu Sun +6

Identifying a low-entanglement eigenstate inside a many-body spectrum and preserving it during measurement are distinct tasks. We construct an explicit local ring Hamiltonian with…

quant-ph2026

Sparse and weak-measurement certification of graph-edge entanglement in PXP scar wavepackets

Ximo Wang, Yichi Zhang, Qiwei Han +6

An imperfect many-body revival does not by itself certify the entanglement of the returning state. We give a finite-record protocol for graph-edge localizable entanglement along sc…

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

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-ph2026

Non-commutative Index of Measurement-only Entanglement Phase Transition

Zhichen Huang, Chunxiao Du, Yang Zhou +1

Measurement-only models offer an ideal platform for exploring entanglement dynamics in the absence of unitary evolution. Despite extensive numerical evidence for entanglement phase…

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…