The Internet of things (IoT) drives an exponential surge in computing and communication
devices. Consequently, it triggers capacity, coverage, interference, latency, and security …

Quantum reinforcement learning is an emerging field at the intersection of quantum
computing and machine learning. While we intend to provide a broad overview of the …

Mobile edge computing (MEC) has revolutionized the way computational tasks are offloaded
and latency is reduced by leveraging edge servers close to end devices. Efficient resource …

We study a recommender system for quantum data using the linear contextual bandit
framework. In each round, a learner receives an observable (the context) and has to …

作为量子计算的通用计算模型, 量子行走广泛应用于安全通信, 快速搜索, 相似性计算以及图挖掘
等领域. 现阶段研究者对量子行走的设计思路, 未来发展以及模型与算法间的相互关系关注甚少 …

We consider the quantum kernelized bandit problem, where the player observes information
of rewards through quantum circuits termed the quantum reward oracle, and the mean …