Figure 11From: Benchmarking machine learning algorithms for adaptive quantum phase estimation with noisy intermediate-scale quantum sensorsVisual representation of the performance values obtained for the PSO algorithm based on the logarithm of the Holevo variance \(\ln (V_{H}(\alpha ,\beta ))\) with the parameter configurations following the rule \(\beta \geq \alpha \) \(\forall \beta > 0\). Better configurations lead to lower values of \(\ln (V_{H}(\alpha ,\beta ))\)Back to article page