Abstract
Advancing the quantum internet through integrating Quantum Machine Learning (QML) presents a novel approach to addressing the significant challenges in quantum communication networks. Quantum internet, grounded in the principles of quantum mechanics, offers unparalleled security and computational power but faces hurdles such as error correction, efficient routing, and infrastructure maintenance. This paper first explores the foundational concepts that underpin the quantum internet, highlighting how quantum entanglement, superposition, and teleportation contribute to its potential. In the second half, this paper introduces QML techniques to enhance these systems, proposing adaptive error correction, optimized routing, and predictive maintenance as key innovations. These insights aim to improve quantum networks' efficiency, reliability, and scalability, positioning QML as a crucial element in the future development of global quantum communication systems.
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