Whether you manipulate the equations or take the matrix route, you’ll end up performing the same total number of computational steps to solve the problem. That number is the cube of the number of ...

QLSP refers to the problem of solving linear systems of equations using quantum computing. Solutions to the QLSP often rely on the quantumization of classical linear algebra algorithms used in ...

VQAs solve problems by implementing parameterized quantum circuits in quantum computing and optimizing the parameters of the quantum circuit using classical optimizers. VQAs are widely applied in ...

We consider a class of iterative algorithms for solving systems of linear equations where the coefficient matrix is nonsymmetric with positive-definite symmetric part. The algorithms are modelled ...

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 ...

In this article, a system of Yang-Baxter-type matrix equations is studied, XAX = BXB, XBX = AXA, which “generalizes” the matrix Yang-Baxter equation and exhibits a broken symmetry. We investigate the ...