Quantum walks sound abstract, but they sit at the center of a very concrete race: who will harness quantum mechanics to solve ...

Abstract: DBSCAN (Density-Based Spatial Clustering of Applications with Noise) has been recognized as a powerful clustering algorithm for detecting non-linearly separable clusters but has faced ...

Abstract: Utilizing the unbiasedness criterion, this article proposes a bias-compensated normalized Euclidean direction search (BC-NEDS) algorithm with noisy inputs, which can effectively mitigate the ...