Abstract: Matrix factorization is a popular framework for modeling low-rank data matrices. Motivated by manifold learning problems, this paper proposes a quadratic matrix factorization (QMF) framework ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.

Click to share on X (Opens in new window) X Click to share on Facebook (Opens in new window) Facebook Given Shout’s business plan, it seems likely they will mount a new special edition Blu-ray of ...

State preparation is an important class of quantum circuits: given the complex amplitude state vector/wave function, synthesize a quantum circuit to prepare that state. An alternative approach is to ...

Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China State Key Laboratory of Loess and Quaternary Geology, CAS ...