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. 2024 Aug 9;14:18521. doi: 10.1038/s41598-024-69384-6

Table 2.

The accuracies and standard deviations (%).

Circuit Parameter 5 and 6 0 and 7 3 and 6 4 and 5 7 and 8 4 and 9
1 68 95.42±0.55 99.06±0.10 95.92±0.29 94.35±0.56 94.16±0.54 83.39±0.73
2 85 96.69±0.27 99.03±0.75 97.66±0.20 98.95±0.24 97.21±0.32 87.08±0.37
3 85 96.73±0.12 98.93±0.13 98.91±0.17 98.15±0.16 97.06±0.32 87.39±0.57
4 34 86.64±0.57 95.49±0.63 82.28±0.42 83.00±0.43 83.68±1.79 70.84±0.95
5 34 95.23±0.05 99.15±0.05 98.63±0.16 97.32±0.61 96.88±0.27 86.90±0.15
6 102 96.78±0.32 99.21±0.01 98.70±0.13 98.25±0.04 97.29±0.24 87.07±1.26
7 102 96.76±0.33 99.27±0.57 98.94±0.01 98.04±0.12 97.32±0.24 87.71±0.63
8 255 97.17±0.41 99.25±0.34 98.78±0.06 98.52±0.15 97.49±0.13 87.39±0.94
Alter 34 95.53±0.23 96.90±0.29 97.28±0.12 95.45±0.53 95.16±0.58 81.83±0.71

The first column shows the circuit layouts adopted by BMERA, and the second column indicates the number of trainable parameters. The remaining columns represent mean accuracies and standard deviations for six binary classification tasks. The last row denotes mean accuracies and standard deviations of the classification model based on the alternate circuit layout. All accuracies and standard deviations are obtained by five random simulations.