Basic quantum circuits for classification and approximation tasks

DOI10.34768/amcs-2020-0054zbMath1462.81066OpenAlexW3120818527MaRDI QIDQ2023586

Joanna Wiśniewska, Andrzej Obuchowicz, Marek Sawerwain

Publication date: 3 May 2021

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://sciendo.com/pdf/10.34768/amcs-2020-0054

zbMATH Keywords

supervised learningdata classificationqubitsquantum circuitsqudits

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Quantum computation (81P68) Data structures (68P05) Networks and circuits as models of computation; circuit complexity (68Q06) Quantum gates (81P65)

Uses Software

• Scikit

Cites Work

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• The quest for a quantum neural network
• Simulating a perceptron on a quantum computer
• The phase-space approach to time evolution of quantum states in confined systems: the spectral split-operator method
• Quantum Computation and Quantum Information
• Bloch vectors for qudits
• A single quantum cannot be cloned
• Geometric approach to digital quantum information
• Quantum artificial neural network architectures and components

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