4 papers
Meta-Learning for Quantum Optimization via Quantum Sequence Model
Yu-Cheng Lin, Yu-Chao Hsu, Samuel Yen-Chi Chen
The Quantum Approximate Optimization Algorithm (QAOA) is a leading approach for solving combinatorial optimization problems on near-term quantum processors. However, finding good v…
Quantum Reinforcement Learning: Recent Advances and Future Directions
Jawaher Kaldari, Shehbaz Tariq, Saif Al-Kuwari +3
As quantum machine learning continues to evolve, reinforcement learning stands out as a particularly promising yet underexplored frontier. In this survey, we investigate the recent…
Quantum Long Short-term Memory with Differentiable Architecture Search
Samuel Yen-Chi Chen, Prayag Tiwari
Recent advances in quantum computing and machine learning have given rise to quantum machine learning (QML), with growing interest in learning from sequential data. Quantum recurre…
Federated Quantum Kernel-Based Long Short-term Memory for Human Activity Recognition
Yu-Chao Hsu, Jiun-Cheng Jiang, Chun-Hua Lin +5
In this work, we introduce the Federated Quantum Kernel-Based Long Short-term Memory (Fed-QK-LSTM) framework, integrating the quantum kernel methods and Long Short-term Memory into…