The study explores how quantum algorithms, particularly techniques in quantum machine learning, can enhance the performance of robots in tasks such as operation, navigation, and grasping. The core ...

Abstract: The iterative hard thresholding (IHT) algorithm is widely used for recovering sparse signals in compressed sensing. Despite the development of numerous variants of this effective algorithm, ...

Abstract: The traditional Rapidly-exploring Random Tree Star (RRT*) suffers from the low path generation efficiency, numerous invalid exploration points, and unsuitability for navigation in unknown ...

The research team successfully implemented complex algorithms, such as Grover's search algorithm and quantum Fourier transform, within this simulation framework, demonstrating the feasibility of ...