Speeding up quantum perceptron via shortcuts to adiabaticity
Abstract The quantum perceptron is a fundamental building block for quantum machine learning. This is a multidisciplinary field that incorporates abilities of quantum computing, such as state superposition and entanglement, to classical machine learning schemes. Motivated by the techniques of shortc...
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Main Authors: | Yue Ban, Xi Chen, E. Torrontegui, E. Solano, J. Casanova |
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Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
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Subjects: | |
Online Access: | https://doaj.org/article/0ecaac1ce61f47d596d8f95e67e6c3da |
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