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 ...

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