Optimal usage of quantum random access memory in quantum machine learning-Reference-Cited by-同舟云学术

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Optimal usage of quantum random access memory in quantum machine learning

Published:2019-01-16 Issue:1 Volume:99 Page:
ISSN:2469-9926
Container-title:Physical Review A
language:en
Short-container-title:Phys. Rev. A

Author:

Bang Jeongho,Dutta Arijit,Lee Seung-Woo,Kim Jaewan

Funder

Electronics and Telecommunications Research Institute

National Research Council of Science and Technology

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevA.99.012326/fulltext

Reference26 articles.

1. An introduction to quantum machine learning

2. Quantum machine learning

3. Quantum machine learning: a classical perspective

4. Quantum Support Vector Machine for Big Data Classification

5. Quantum principal component analysis

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Variational Quantum Linear Solver Application to Discrete Finite-Element Methods;Entropy;2023-03-28

2. Two-level quantum walkers on directed graphs. II. Application to quantum random access memory;Physical Review A;2023-02-13

3. Hamiltonian-based data loading with shallow quantum circuits;Physical Review A;2022-11-18

4. Negational symmetry of quantum neural networks for binary pattern classification;Pattern Recognition;2022-09

5. Tangible reduction in learning sample complexity with large classical samples and small quantum system;Quantum Information Processing;2021-08

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