Jonckheere-Terpstra test for nonclassical error versus log-sensitivity relationship of quantum spin network controllers

The selective information transfer in spin ring networks by energy landscape shaping control has the property that the error, 1-prob, where prob is the transfer success probability, and the sensitivity of the error to spin coupling uncertainties are statistically increasing across a family of controllers of increasing error. The need for a statistical hypothesis testing of a concordant trend is made necessary by the noisy behavior of the sensitivity versus the error as a consequence of the optimization of the controllers in a challenging error landscape. Here, we examine the concordant trend between the error and another measure of performance, ie, the logarithmic sensitivity, used in robust control to formulate a well-known fundamental limitation. Contrary to error versus sensitivity, the error-versus-logarithmic-sensitivity trend is less obvious because of the amplification of the noise due to the logarithmic normalization. This results in the Kendall test for rank correlation between the error and the log sensitivity to be somewhat pessimistic with marginal significance level. Here, it is shown that the Jonckheere-Terpstra test, because it tests the alternative hypothesis of an ordering of the medians of some groups of log sensitivity data, alleviates this statistical problem. This identifies cases of concordant trend between the error and the logarithmic sensitivity, ie, a highly anticlassical feature that goes against the well-known sensitivity versus the complementary sensitivity limitation.