6 papers
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…
A Hierarchical Fused Quantum Fuzzy Neural Network for Image Classification
Sheng-Yao Wu, Run-Ze Li, Yan-Qi Song +3
Neural network is a powerful learning paradigm for data feature learning in the era of big data. However, most neural network models are deterministic models that ignore the uncert…
Variational quantum algorithm-preserving feasible space for solving the uncapacitated facility location problem
Sha-Sha Wang, Hai-Ling Liu, Yong-Mei Li +3
The Quantum Alternating Operator Ansatz (QAOA+) is one of the Variational Quantum Algorithm (VQA) specifically developed to tackle combinatorial optimization problems by exploring…
A Quantum Federated Learning Framework for Classical Clients
Yanqi Song, Yusen Wu, Shengyao Wu +4
Quantum Federated Learning (QFL) enables collaborative training of a Quantum Machine Learning (QML) model among multiple clients possessing quantum computing capabilities, without…
Non-Markovian Dynamics of Time-Fractional Open Quantum Systems
Dongmei Wei, Hailing Liu, Yongmei Li +3
Applications of Time-Fractional Schrodinger Equations (TFSEs) to quantum processes are instructive for understanding and describing the time behavior of real physical systems. By a…
Proactively incremental-learning QAOA
Lingxiao Li, Jing Li, Yanqi Song +3
Solving optimization problems with high performance is the target of existing works of Quantum Approximate Optimization Algorithm (QAOA). With this intention, we propose an advance…