Laser & Optoelectronics Progress, Volume. 61, Issue 9, 0927002(2024)
Quantum Classifier Based on Compact Encoding and Polynomial Kernel
Fig. 4. Comparison between the expected values of two classifiers and the theory expected value
Fig. 5. Iterative process of dataset classification for original consine kernel, linear kernel compact and polynomial kernel compact. (a) Half-moon dataset; (b) circular dataset; (c) Iris dataset; (d) BreastCancer dataset
Fig. 6. Decision boundary of constructed dataset. (a) (b) Different forms of binary classification; (c) three-way classification; (d) four-tape classification
Fig. 7. Entanglement difference between compact and non-compact swap-test classifiers
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Ruihong Jia, Guang Yang, Min Nie, Yuanhua Liu, Meiling Zhang. Quantum Classifier Based on Compact Encoding and Polynomial Kernel[J]. Laser & Optoelectronics Progress, 2024, 61(9): 0927002
Category: Quantum Optics
Received: Jan. 5, 2023
Accepted: Mar. 15, 2023
Published Online: Apr. 11, 2024
The Author Email: Ruihong Jia (hongrjia@163.com)
CSTR:32186.14.LOP223345