Quantum machine learning with Qiskit: Evaluating regression accuracy and noise impact
Abstract Quantum machine learning (QML) can be employed in solving complicated machine learning tasks although the performance in examining the regression processes is only barely understood. Knowledge gaps are intended to be closed by studying modelling performance of QML in regression tasks, with...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-12-01
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| Series: | IET Quantum Communication |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/qtc2.12100 |
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