Classical vs. Quantum Machine Learning for Breast Cancer Detection
Author:
Affiliation:
1. Instituto Universitario de Estudios de las Mujeres Universidad de La Laguna,Tenerife,Spain,38200
2. University of La Laguna,Department of Computer Engineering and Systems,La Laguna, Tenerife,Spain,38271
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10108077/10108104/10108230.pdf?arnumber=10108230
Reference15 articles.
1. VQE-generated Quantum Circuit Dataset for Machine Learning;nakayama;arXiv 2302 09751,2023
2. Universal discriminative quantum neural networks;chen;arXiv 1805 08654,2018
3. Study and Application of Quantum Optimization Algo-rithms;moreno;University Complutense of Madrid,2022
4. On Circuit-Based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification
5. Hierarchical quantum classifiers npj Quantum Inf;grant,2018
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3. Quantum Machine Learning Revolution in Healthcare: A Systematic Review of Emerging Perspectives and Applications;IEEE Access;2024
4. Machine Learning Classification Algorithms for Accurate Breast Cancer Diagnosis;2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA);2023-10-10
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