most citedMeasuring network quantum steerability utilizing artificial neural networks

6 citations · 6 across the 2 of their papers we have counts for

collaborators

5 papers

quant-ph2025

Quantum-Assisted Recursive Algorithm for Solving the Exact Cover Problem

Xiao-Hui Ni, Jia-Cheng Fan, Ling-Xiao Li +5

The exact cover problem is an NP-complete problem with broad applications. Studies show that although applying the Quantum Approximate Optimization Algorithm (QAOA) to this problem…

quant-ph2025

From Membership-Privacy Leakage to Quantum Machine Unlearning

Junjian Su, Runze He, Guanghui Li +4

Quantum machine learning (QML) has the potential to achieve quantum advantage for specific tasks by combining quantum computation with classical machine learning (ML). In classical…

quant-ph2025

Quantum Knowledge Distillation for Large Language Models

Lingxiao Li, Yihao Wang, Jiacheng Fan +4

As foundational tools in natural language processing, Large Language Models (LLMs) have immense parameter scales, which makes deployment and inference increasingly prohibitive, esp…

quant-ph20256 cited

Measuring network quantum steerability utilizing artificial neural networks

Mengyan Li, Yanning Jia, Fenzhuo Guo +3

Network quantum steering plays a pivotal role in quantum information science, enabling robust certification of quantum correlations in scenarios with asymmetric trust assumptions a…

quant-ph2025

Topology-Driven Quantum Architecture Search Framework

Junjian Su, Jiacheng Fan, Shengyao Wu +3

The limitations of Noisy Intermediate-Scale Quantum (NISQ) devices have motivated the development of Variational Quantum Algorithms (VQAs), which are designed to potentially achiev…