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19982026
most citedDelay-Optimal Computation Task Scheduling for Mobile-Edge Computing Systems

795 citations

Showing 2025 · quant-phShow all

9 papers · 2 filters

quant-ph2025★ 1 cited

Self-induced manipulation of biphoton entanglement in topologically distinct modes

Wei-Wei Zhang, Chao Chen, Jizhou Wu

Biphoton states have shown promising applications in quantum information processing, including quantum communications, quantum metrology, and quantum imaging. The generation and ma…

quant-ph2025★ 5 cited

Yang-Lee edge singularity and quantum criticality in non-Hermitian PXP model

Wen-Yi Zhang, Meng-Yun Mao, Qing-Min Hu +3

We present a comprehensive theoretical framework for quantum criticality in the non-Hermitian detuned PXP model, and establish the complete phase diagram, which had remained elusiv…

quant-ph2025★ 1 cited

A Davydov Ansatz approach to accurate system-bath dynamics in the presence of multiple baths with distinct temperatures

Chenlin Ma, Fulu Zheng, Kewei Sun +2

We perform benchmark simulations using the time-dependent variational approach with the multiple Davydov Ansatz (mDA) to study realtime nonequilibrium dynamics in a single qubit mo…

quant-ph2025

Harnessing Non-convex Quantum Correlations of Independent Qubits

Liang-Liang Sun, Xiang Zhou, Chengjie Zhang +3

Quantum correlations in Bell and prepare-and-measure experiments are central resources for probing nonclassicality and enabling device-based quantum information protocols. In the a…

quant-ph2025★ 26 cited

Toward Heisenberg Scaling in Non-Hermitian Metrology at the Quantum Regime

Xinglei Yu, Xinzhi Zhao, Liangsheng Li +4

Non-Hermitian quantum metrology, an emerging field at the intersection of quantum estimation and non-Hermitian physics, holds promise for revolutionizing precision measurement. Her…

quant-ph2025★ 7 cited

Genuine multipartite entanglement verification with convolutional neural networks

Yi-Jun Luo, Xuan Leng, Chengjie Zhang

In recent years, the detection of genuine multipartite entanglement (GME) via machine learning has received scant attention. Here, we employ convolutional neural networks (CNNs), a…