The problem of joint approximate diagonalization of symmetric real matrices is addressed. It is reduced to an optimization problem with the restriction that the matrix of the similarity transformation ...

Abstract: We describe an adaptive algorithm based on stochastic approximation theory for the simultaneous diagonalization of the expectations of two random matrix sequences. Although there are several ...

This is a simple C++ program for computing the eigenvalues and eigenvectors of any square matrix using the LAPACK library. Diagonalization is handled by the "diagonalization" class, which is defined ...

Abstract: This paper addresses the problem of Joint approximate diagonalization (JAD) of a set of given matrices and proposes a new efficient iterative algorithm for JAD that based on the ...

Qiskit addons are a collection of modular tools for building utility-scale workloads powered by Qiskit. This package contains the Qiskit addon for sample-based quantum diagonalization (SQD) -- a ...

This work presents the application of the lesser-known yet significant Sommerfeld-Watson transformation (SWT) for the analytical diagonalization of specific Hamiltonians in condensed matter physics.