Abstract: A method for identifying blooming candidates in a Lidar measurement may include providing a distance-based histogram of points of a point cloud generated in the Lidar measurement. In the histogram, clusters of points having the same distance to a Lidar sensor carrying out the Lidar measurement are identified and intensities of the points of a cluster are evaluated. If the cluster contains points, the intensities of which exceed in each case a predefined limit value, those points of the cluster, the intensities of which do not exceed in each case the predefined limit value and in particular fall below the predefined limit value by more than a predefined threshold value, are classified as blooming candidates.

Abstract: The present disclosure describes non-classical (e.g., quantum) computing systems and methods that utilize dopant molecules contained in host materials as qubits.

Abstract: The present disclosure describes non-classical (e.g., quantum) computing systems and methods that utilize dopant molecules contained in host materials as qubits.

Abstract: The present disclosure describes non-classical (e.g., quantum) computing systems and methods that utilize dopant molecules contained in host materials as qubits.