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20142026
most citedA Unified Framework for Non-Orthogonal Multiple Access

122 citations

Showing 2024 · quant-phShow all

8 papers · 2 filters

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★ 1 cited

The quantum uncertainty relations of quantum channels

Shi-Yun Kong, Ming-Jing Zhao, Zhi-Xi Wang +1

The uncertainty relation reveals the intrinsic difference between the classical world and the quantum world. We investigate the quantum uncertainty relation of quantum channel in q…

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

The uncertainty of quantum states with respect to the projective measurement

Ming-Jing Zhao, Yuanhong Tao

The uncertainty relation is a distinctive characteristic of quantum theory. The uncertainty is essentially rooted in quantum states. In this work we regard the uncertainty as an in…

quant-ph2024★ 5 cited

A characterization of entangled two-qubit states via partial-transpose-moments

Lin Zhang, Ming-Jing Zhao, Lin Chen +2

Although quantum entanglement is an important resource, its characterization is quite challenging. The partial transposition is a common method to detect bipartite entanglement. In…

quant-ph2024★ 1 cited

Uncertainty relation and the constrained quadratic programming

Lin Zhang, Dade Wu, Ming-Jing Zhao +1

The uncertainty relation is a fundamental concept in quantum theory, plays a pivotal role in various quantum information processing tasks. In this study, we explore the additive un…