A New Quantum Approach to Binary Classification
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2021
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| _version_ | 1866912011326062592 |
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| author | Thomas, G. Arun Sampaul Mangalarapu, Krishna Sai Md, Munawar Ali Talakokkula, Vamsi Krishna |
| author_facet | Thomas, G. Arun Sampaul Mangalarapu, Krishna Sai Md, Munawar Ali Talakokkula, Vamsi Krishna |
| contents | Machine Learning classification models learn the relation between input as features and output as a class in order to predict the class for the new given input. Quantum Mechanics (QM) has already shown its effectiveness in many fields and researchers have proposed several interesting results which cannot be obtained through classical theory. In recent years, researchers have been trying to investigate whether the QM can help to improve the classical machine learning algorithms. It is believed that the theory of QM may also inspire an effective algorithm if it is implemented properly. From this inspiration, we propose the quantum-inspired binary classifier. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2106_15572 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | A New Quantum Approach to Binary Classification Thomas, G. Arun Sampaul Mangalarapu, Krishna Sai Md, Munawar Ali Talakokkula, Vamsi Krishna Quantum Physics Machine Learning classification models learn the relation between input as features and output as a class in order to predict the class for the new given input. Quantum Mechanics (QM) has already shown its effectiveness in many fields and researchers have proposed several interesting results which cannot be obtained through classical theory. In recent years, researchers have been trying to investigate whether the QM can help to improve the classical machine learning algorithms. It is believed that the theory of QM may also inspire an effective algorithm if it is implemented properly. From this inspiration, we propose the quantum-inspired binary classifier. |
| title | A New Quantum Approach to Binary Classification |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2106.15572 |