Advances in Quantum Neural and Reinforcement Learning

Beschreibung

This book constitutes the proceedings of the First Advances in Quantum Neural and Reinforcement Learning, QNRL@WCCI 2026, held in Maastricht, The Netherlands, during June 21–26, 2026.

The 7 full papers included in this book were carefully reviewed and selected from 13 submissions. They were organized in topical sections as follows: Quantum Reinforcement Learning and Decision Systems; Quantum Neural Architectures and Generative Models; Hybrid Quantum Learning Applications and Scientific
Machine Learning.

Autor*in

Samuel Yen-Chi Chen

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Quantum neural architectures hybrid quantum classical models embedding and encoding strategies optimization and trainability Quantum reinforcement learning Trustworthy QN&RL

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