Compositional optimization of quantum circuits for quantum kernels of support vector machines
Author:
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
American Physical Society (APS)
Subject
General Physics and Astronomy
Link
http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevResearch.5.013211/fulltext
Reference39 articles.
1. Quantum Machine Learning in Feature Hilbert Spaces
2. Quantum Support Vector Machine for Big Data Classification
3. Supervised learning with quantum-enhanced feature spaces
4. Kernel methods in Quantum Machine Learning
5. Experimental kernel-based quantum machine learning in finite feature space
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3. Quantum kernel estimation-based quantum support vector regression;Quantum Information Processing;2024-01-23
4. Compositional optimization of quantum circuits for quantum kernels of support vector machines;Physical Review Research;2023-03-28
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