Difference between revisions of "Publications/habib.21.seminar"
From LRDE
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| year = 2021 |
| year = 2021 |
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| number = 2117 |
| number = 2117 |
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| − | | abstract = With the continuous improvement of quantum |
+ | | abstract = With the continuous improvement of quantum technologiesone might wonder if it is possible to take advantage of them for machine learning. In this paper we present a first approach of quantum computing as well as the implementation of a quantum perceptron we then explain the reasoning behind these algorithms. |
| type = techreport |
| type = techreport |
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| id = habib.21.seminar |
| id = habib.21.seminar |
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Latest revision as of 15:45, 10 March 2022
- Authors
- Nathan Habib
- Type
- techreport
- Year
- 2021
- Number
- 2117
Abstract
With the continuous improvement of quantum technologiesone might wonder if it is possible to take advantage of them for machine learning. In this paper we present a first approach of quantum computing as well as the implementation of a quantum perceptron we then explain the reasoning behind these algorithms.