Fig. 3

Correlation between success probability and \(J\)-chaoticity. We plot the success probability and \(J\)-chaoticity measure with noise \(\eta =0.03\). There is evidently a strong correlation between the two, showing that the success probability is lowered due to \(J\)-chaos. The inset shows the Pearson’s correlation coefficient \(\rho\) between success probability and \(J\)-chaoticity, as a function of added noise, for all \(\eta\) values tested. As \(\eta\) grows, success probability and \(J\)-chaoticity become more negatively correlated.