Fig. 5: Normalized local effective dimension under different numbers of samplings M with random and optimized patterns.
From: Practical advantage of quantum machine learning in ghost imaging
The top row is with random patterns: (a) M = 16, (b) M = 32, (c) M = 64, and (d) M = 128; The bottom row is with optimized patterns: (e) M = 16, (f) M = 32, (g) M = 64, and (h) M = 128. All results are obtained under the test dataset of MNIST and the numbers of extra data are from 105 to 108.
