Review of some existing QML frameworks and novel hybrid classical-quantum neural networks realising binary classification for the noisy datasets
One of the most promising areas of research to obtain practical advantage is Quantum Machine Learning which was born as a result of cross-fertilisation of ideas between Quantum Computing and Classical Machine Learning. In this paper, we apply Quantum Machine Learning (QML) frameworks to improve bina...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2022
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/7214 https://ink.library.smu.edu.sg/context/sis_research/article/8217/viewcontent/s41598_022_14876_6_pvoa_CC_BY.pdf |
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| Institution: | Singapore Management University |
| Language: | English |