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Sample size vs. FN=FP, with í µí¼™ 1 = 0.002

Sample size vs. FN=FP, with í µí¼™ 1 = 0.002

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Consider a quantum circuit that, when fed a constant input, produces a fixed-length random bit-string in each execution. Executing it many times yields a sample of many bit-strings that contain fresh randomness inherent to the quantum evaluation. When the circuit is freshly selected from a special class, the output distribution of strings cannot be...

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... Figure 6 PDF approximations of SQC í µí±‹ í µí°¹ ,í µí±š=5,.5 . . 9 Figure 7 Inverse CDFs of SQC with í µí±š = 10 6 . . . . 10 Figure 8 Inverse CDFs of SQC with í µí±š = 10 7 . . . . 10 Figure 9 Sample size vs. FN=FP, with í µí¼™ 1 = 0.002 . ...

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