Quantum Computing and Artificial Intelligence
Description
This book constitutes the proceedings of the Second International Workshop on Quantum Computing and Artificial Intelligence, QC+AI 2026, which took place in Singapore on January 27, 2026.
The 7 full papers included in this book were carefully reviewed and selected from 17 submissions. They deal with up to date topics in quantum optimization and quantum machine learning.
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Content
.- Saving resources with Quantum Agents.
.- QUBO-Based Subset Selection for Efficient Fine-Tuning of Vision-Language Models.
.- Hybrid Learning and Optimization methods for solving Capacitated Vehicle Routing Problem.
.- Learning-Based Graph Shrinking for Quantum Optimization of Constrained Combinatorial Problems.
.- Hybrid Quantum-Classical Framework for Acute Hypotension Control.
.- Quantum Kernel Methods for Brain Aneurysm Risk Classification.
.- QuCoWE: Quantum Contrastive Word Embeddings with Variational Circuits for Near-Term Quantum Devices.
.- QGShap: Quantum Acceleration for Faithful GNN Explanations.
