A classical simulation of a random quantum circuit produces bit strings whose linear…

PHYSICS · Subjective · Fermi University Physics · Mathematical Methods for Physics · Quantum Information & Technology · The quantum circuit model and quantum algorithms

Quantum Information and Technology, Ch What quantum computers can compute efficiently

Problem

A classical simulation of a random quantum circuit produces bit strings whose linear cross-entropy benchmark score is estimated as FXEB=0.0037F_{\rm XEB} = 0.0037 (a squared-type fidelity estimate, as quoted for the classical GPU sampling of Pan, Chen and Zhang, 2022). The standard deviation of the cross-entropy estimator per sample is approximately 11. Estimate the number of samples NN needed to resolve this score from zero at five standard deviations, i.e. so that FXEBN≥5F_{\rm XEB}\sqrt{N} \ge 5.

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