The theory of the quantum kernel-based binary classifier

DOI10.1016/J.PHYSLETA.2020.126422zbMath1448.81248arXiv2004.03489OpenAlexW3013998096MaRDI QIDQ2213171

Daniel K. Park, Francesco Petruccione, Carsten Blank

Publication date: 30 November 2020

Published in: Physics Letters. A (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2004.03489

zbMATH Keywords

pattern recognitionkernel methodsquantum computingquantum machine learningquantum binary classification

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Computational learning theory (68Q32) Artificial neural networks and deep learning (68T07) Quantum computation (81P68)

Related Items (1)

Entangled kernel of coded information using quantum string

Cites Work

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• Simulating a perceptron on a quantum computer
• Kernel methods in machine learning
• Supervised learning with quantum computers
• Quantum networks for concentrating entanglement
• Quantum Random Access Memory
• Quantum machine learning: a classical perspective
• Quantum state discrimination and its applications
• On the Robustness of Bucket Brigade Quantum RAM

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