• Laser & Optoelectronics Progress
  • Vol. 61, Issue 9, 0927002 (2024)
Ruihong Jia*, Guang Yang, Min Nie, Yuanhua Liu, and Meiling Zhang
Author Affiliations
  • School of Communication and Information Engineering & School of Artificial Intelligence, Xi'an University of Posts & Telecommunications, Xi'an 710121, Shaanxi, China
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    DOI: 10.3788/LOP223345 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Circuit structure of swap-test classifier
    Fig. 1. Circuit structure of swap-test classifier
    Circuit structure of compact quantum classifier
    Fig. 2. Circuit structure of compact quantum classifier
    Circuit structure of state preparation process
    Fig. 3. Circuit structure of state preparation process
    Comparison between the expected values of two classifiers and the theory expected value
    Fig. 4. Comparison between the expected values of two classifiers and the theory expected value
    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. 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
    Decision boundary of constructed dataset. (a) (b) Different forms of binary classification; (c) three-way classification; (d) four-tape classification
    Fig. 6. Decision boundary of constructed dataset. (a) (b) Different forms of binary classification; (c) three-way classification; (d) four-tape classification
    Entanglement difference between compact and non-compact swap-test classifiers
    Fig. 7. Entanglement difference between compact and non-compact swap-test classifiers
    Relationship between entanglement difference and data amount
    Fig. 8. Relationship between entanglement difference and data amount
    ClassifierHalf-moonCircularIrisBreastCancer
    Swap-test1.001.000.960.94
    Compact1.001.000.980.97
    Table 1. Classification results of four types datasets
    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
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