Quantum Computing and Artificial Intelligence
Springer International Publishing (Verlag)
978-3-032-17624-0 (ISBN)
- Noch nicht erschienen - erscheint am 27.02.2026
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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.
.- 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.
| Erscheint lt. Verlag | 27.2.2026 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | XX, 116 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Naturwissenschaften ► Physik / Astronomie ► Quantenphysik | |
| Naturwissenschaften ► Physik / Astronomie ► Theoretische Physik | |
| Schlagworte | applications of QAI • classical AI for circuit design • classical AI for quantum software engineering • noise reduction • quantum annealing • Quantum Artificial Intelligence • Quantum machine learning • QUBO • theoretical foundations of QAI algorithms |
| ISBN-10 | 3-032-17624-7 / 3032176247 |
| ISBN-13 | 978-3-032-17624-0 / 9783032176240 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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