Abstract: For parahermitian polynomial matrices, which can be used, for example, to characterize space-time covariance in broadband array processing, the conventional eigenvalue decomposition (EVD) ...

using Diagonalizations, PosDefManifold, Test n, t=10, 100 # generate an nxt data matrix X=genDataMatrix(n, t) # principal component analysis pX=pca(X) # the following is an equivalent constructor ...

I am @Ohayougozaimasu, an HSP and anti-Todai-ism advocate. "Mathematics for University" (Kenbunshoin) was a famous reference book for entrance exam mathematics. While it is supported by top-tier ...

Abstract: Approximate Joint Diagonalization of a matrix set can solve the linear Blind Source Separation problem. If the data possesses a bilinear structure, for example a spatio-temporal structure, ...

Japan now hosts the world’s most advanced quantum–classical hybrid setup, pairing IBM’s cutting-edge quantum system with one of Earth’s fastest supercomputers. On Tuesday, IBM and Japan’s national ...

The original version of this story appeared in Quanta Magazine. Algorithms have become ubiquitous. They optimize our commutes, process payments, and coordinate the flow of internet traffic. It seems ...

Algorithms have become ubiquitous. They optimize our commutes, process payments and coordinate the flow of internet traffic. It seems that for every problem that can be articulated in precise ...

Code for "Enhancing variational quantum state diagonalization using reinforcement learning techniques" This is a repository for the code used to calculate the numerical results presented in the ...