Quantum-hybrid neural vector quantization -- a mathematical approach

DOI10.1007/978-3-030-87986-0_22zbMath1497.68441OpenAlexW3204567548MaRDI QIDQ2148712

Alexander Engelsberger, Thomas Villmann

Publication date: 24 June 2022

Full work available at URL: https://doi.org/10.1007/978-3-030-87986-0_22

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Quantum computation (81P68)

Cites Work

• Unnamed Item
• Self-organizing maps: Ordering, convergence properties and energy functions
• Supervised learning with quantum computers
• Quantum speed-up for unsupervised learning
• Support Vector Machines
• Mathematics of Quantum Computing
• Probabilistic Learning Vector Quantization with Cross-Entropy for Probabilistic Class Assignments in Classification Learning
• Self-organizing maps

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