22 citations · 28 across the 7 of their papers we have counts for
9 papers
Feedback-based quantum optimization with low depth and measurement
Zi-Wen Huang, Jia-Cheng Fan, Xiao-Hui Ni +5
Feedback-based ALgorithm for Quantum OptimizatioN (FALQON) is a hybrid quantum-classical algorithm for solving combinatorial optimization problems, which circumvents classical para…
Semidefinite-programming hierarchies for classically simulable state families
Mengyan Li, Yanning Jia, Fenzhuo Guo +3
Identifying whether a state family admits an irreducible quantum advantage is a fundamental task in quantum resource theory and quantum information processing. Here we study classi…
Semi-device-independent certification of high-dimensional quantum channels
Mengyan Li, Yanning Jia, Fenzhuo Guo +3
Certifying high-dimensional quantum channels is essential for ensuring the reliability of quantum communication protocols. Existing certification schemes often rely on fully truste…
Offline dedicated quantum attacks on block cipher constructions based on two parallel permutation-based pseudorandom functions
Xiao-Fan Zhen, Zhen-Qiang Li, Jia-Cheng Fan +2
Quantum cryptanalysis is essential for evaluating the security of cryptographic systems against the threat of quantum computing. Recently, Shi {\it et al.} introduced a dedicated q…
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…
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…
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…
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…
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…