most citedCoupled hydro-aero-turbo dynamics of liquid-tank system for wave energy harvesting: Numerical modellings and scaled prototype tests

7 citations

5 papers

quant-ph2026

Machine learning-aided direct estimation of coherence and entanglement for unknown states

Ting Lin, Zhihua Chen, Kai Wu +3

Quantum coherence and entanglement are fundamental resources in quantum technologies, yet their efficient estimation for unknown states by employing minimal resources in experiment…

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★ 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…

physics.flu-dyn2025★ 7 cited

Coupled hydro-aero-turbo dynamics of liquid-tank system for wave energy harvesting: Numerical modellings and scaled prototype tests

Chongwei Zhang, Xunhao Zhu, Cheng Zhang +2

An integrated numerical model is proposed for the first time to explore the coupled hydro-aero-turbo dynamics of wave-energy-harvesting (WEH) liquid tanks. A scaled prototype of th…

quant-ph2025★ 3 cited

Quantifying Quantum Steering with Limited Resources: A Semi-supervised Machine Learning Approach

Yansa Lu, Zhihua Chen, Zhihao Ma +1

Quantum steering, an intermediate quantum correlation lying between entanglement and nonlocality, has emerged as a critical quantum resource for a variety of quantum information pr…