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Kernel methods in Quantum Machine Learning
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DOI：10.1007/s42484-019-00007-4.png)
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Abstract
En 中文
Quantum Machine Learning has established itself as one of the most promising applications of quantum computers and Noisy Intermediate Scale Quantum (NISQ) devices. In this paper, we review the latest developments regarding the usage of quantum computing for a particular class of machine learning algorithms known as kernel methods.
Keywords:
Quantum Machine Learning
Quantum computing
Kernel methods
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IF:
4.4
Papers:
436
Citations:
796