QDπ: A Quantum Deep Potential Interaction Model for Drug Discovery.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.2c01172
Abstract: We report QDπ-v1.0 for modeling the internal energy of drug molecules containing H, C, N, and O atoms. The QDπ model is in the form of a quantum mechanical/machine learning potential correction (QM/Δ-MLP) that uses… read more here.
Keywords: drug discovery; drug; model drug; quantum deep ... See more keywords
HyperQUEEN: Hyperspectral Quantum Deep Network For Image Restoration
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3274355
Abstract: Quantum science just winning the 2022 Nobel Prize in Physics must lead future development of remote sensing technologies. However, given the very limited number of entangled quantum bits (qubits) even in the most advanced quantum… read more here.
Keywords: quantum; quantum deep; deep network; image ... See more keywords
Quantum Deep Reinforcement Learning for Digital Twin-Enabled 6G Networks and Semantic Communications: Considerations for Adoption and Security
Sign Up to like & getrecommendations! Published in 2026 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2025.3609198
Abstract: Recently, quantum deep reinforcement learning (Q-DRL) has started to gain attention as a potential approach for tackling complex challenges in wireless communication systems. In particular, Q-DRL, integrating quantum operations into deep learning models, can effectively… read more here.
Keywords: quantum deep; future wireless; wireless networks; reinforcement learning ... See more keywords
Quantum Deep Reinforcement Learning for Dynamic Resource Allocation in Mobile Edge Computing-Based IoT Systems
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2023.3330868
Abstract: This paper exploits a quantum-empowered machine learning algorithm to enhance computation learning speed. We leverage quantum phenomena such as superposition and entanglement to work on large-scale multi-dimensional data represented by quantum states. Under stochastic behaviors… read more here.
Keywords: deep reinforcement; quantum deep; learning dynamic; reinforcement learning ... See more keywords