Integrating decoherence-free subspaces with dynamical decoupling enhances quantum state fidelity, offering a practical route to more noise-resilient quantum computing ...

The single linear vector space assumption is widely used in modeling the signal classes, mainly due to its simplicity and mathematical tractability. In certain signals, a union of subspaces can be a ...

This paper introduces a new method to solve the cross-domain recognition problem. Different from the traditional domain adaption methods which rely on a global domain shift for all classes between the ...

UCLA researchers have made a significant discovery showing that biological brains and artificial intelligence systems develop ...

Key takeawaysA new study that compares biological brains with artificial intelligence systems analyzed the neural network patterns that emerged during ...

UCLA researchers have made a significant discovery showing that biological brains and artificial intelligence systems develop remarkably similar ...