Enhancing quantum support vector machines through variational kernel training

DOI10.1007/s11128-023-04138-3arXiv2305.06063MaRDI QIDQ6068043

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Publication date: 10 November 2023

Published in: Quantum Information Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2305.06063

zbMATH Keywords

classificationkernelquantum machine learningquantum support vector machinequantum variational algorithm

Mathematics Subject Classification ID

Quantum computation (81P68)

Cites Work

• The quest for a quantum neural network
• Simulating a perceptron on a quantum computer
• Support-vector networks
• Quantum particle swarm optimization algorithm with the truncated mean stabilization strategy
• On a class of pattern recognition learning algorithms
• Born machine model based on matrix product state quantum circuit
• Quantum SUSAN edge detection based on double chains quantum genetic algorithm
• Machine Learning with Quantum Computers
• Conditional quantum circuit Born machine based on a hybrid quantum-classical framework
• Quantum support vector machine without iteration

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