Empowering complex-valued data classification with the variational quantum classifier
The evolution of quantum computers has encouraged research into how to handle tasks with significant computation demands in the past few years. Due to the unique advantages of quantum parallelism and entanglement, various types of quantum machine learning (QML) methods, especially variational quantu...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-02-01
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| Series: | Frontiers in Quantum Science and Technology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frqst.2024.1282730/full |