On Quantum Methods for Machine Learning Problems Part I: Quantum Tools

On Quantum Methods for Machine Learning Problems Part I: Quantum Tools

This is a review of quantum methods for machine learning problems that consists of two parts. The first part, "quantum tools", presents the fundamentals of qubits, quantum registers, and quantum states, introduces important quantum tools based on known quantum search algorithms and SWAP-te...

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Bibliographic Details
Main Authors: Farid Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu
Format: Article
Language:English
Published: Tsinghua University Press 2020-03-01
Series:Big Data Mining and Analytics
Subjects:
quantum algorithm
quantum programming
machine learning
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2019.9020016

Internet

https://www.sciopen.com/article/10.26599/BDMA.2019.9020016

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