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