Report
Automatic design of quantum feature maps
| العنوان: | Automatic design of quantum feature maps |
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| المؤلفون: | Altares-López, Sergio, Ribeiro, Angela, García-Ripoll, Juan José |
| المصدر: | Quantum Sci. Technol. 6 045015 (2021) |
| سنة النشر: | 2021 |
| المجموعة: | Computer Science Quantum Physics |
| مصطلحات موضوعية: | Quantum Physics, Computer Science - Artificial Intelligence, Computer Science - Machine Learning |
| الوصف: | We propose a new technique for the automatic generation of optimal ad-hoc ans\"atze for classification by using quantum support vector machine (QSVM). This efficient method is based on NSGA-II multiobjective genetic algorithms which allow both maximize the accuracy and minimize the ansatz size. It is demonstrated the validity of the technique by a practical example with a non-linear dataset, interpreting the resulting circuit and its outputs. We also show other application fields of the technique that reinforce the validity of the method, and a comparison with classical classifiers in order to understand the advantages of using quantum machine learning. |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1088/2058-9565/ac1ab1 |
| URL الوصول: | http://arxiv.org/abs/2105.12626 |
| رقم الانضمام: | edsarx.2105.12626 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1088/2058-9565/ac1ab1 |
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