Since the 1990s, evidence has been growing that quantum computers should be able to solve a range of particularly complex ...

The race against Q-Day has begun, and success will require not just technical innovation, but the wisdom to learn from each ...

A device made from superconducting qubits could prove a powerful technology for enabling practical quantum computing or more ...

Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data ...

K-Means Algorithm, Influenza Transmission, Cluster Analysis, Urban Characteristics Share and Cite: Ye, S. (2025) Application ...

From informing billion-dollar decisions to challenging executive instincts, AI is stepping into the boardroom with confidence.

Clustering datasets is a challenging problem needed in a wide array of applications. Partition-optimization approaches, such as k-means or expectation-maximization (EM) algorithms, are sub-optimal and ...

CU partition in AVS3 not only brings improvements in encoding performance but also significantly increases the computational complexity, posing substantial challenges to real-time encoding. We propose ...

4/29/24 CS240 Data Structures and Algorithms QuickSort Algorithm def quicksort (arr, low, high): if low < high: # Partition the array and get the pivot index pivot_index = partition (arr, low, high) ...