4 papers
CAP-CoT: Cycle Adversarial Prompt for Improving Chain of Thoughts in LLM Reasoning
Shuxu Chen, Yitian Zhou, Jiaquan Zhang +6
Chain-of-Thought (CoT) prompting has emerged as a simple and effective way to elicit step-by-step solutions from large language models (LLMs). However, CoT reasoning can be unstabl…
Quantum Clock Synchronization Networks: A Survey
Uman Khalid, Muhammad Shohibul Ulum, Mujirin +3
Quantum clock synchronization (QCS) aims to establish a shared temporal reference between distant nodes by exploiting uniquely quantum phenomena such as entanglement, single-photon…
Towards Quantum Enhanced Adversarial Robustness with Rydberg Reservoir Learning
Shehbaz Tariq, Muhammad Talha, Symeon Chatzinotas +1
Quantum reservoir computing (QRC) leverages the high-dimensional, nonlinear dynamics inherent in quantum many-body systems for extracting spatiotemporal patterns in sequential and…
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…