Results 31 to 40 of about 16,256 (203)

Quantum Power Method by a Superposition of Time-Evolved States

open access: yesPRX Quantum, 2021
We propose a quantum-classical hybrid algorithm of the power method, here dubbed as the quantum power method, to evaluate H[over ^]^{n}|ψ⟩ with quantum computers, where n is a non-negative integer, H[over ^] is a time-independent Hamiltonian of interest,
Kazuhiro Seki, Seiji Yunoki
doaj   +1 more source

Krylov subspace split Bregman methods

open access: yesApplied Numerical Mathematics, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Majed Alotaibi   +2 more
openaire   +1 more source

Sampling Error Analysis in Quantum Krylov Subspace Diagonalization [PDF]

open access: yesQuantum
Quantum Krylov subspace diagonalization (QKSD) is an emerging method used in place of quantum phase estimation in the early fault-tolerant era, where limited quantum circuit depth is available. In contrast to the classical Krylov subspace diagonalization
Gwonhak Lee, Dongkeun Lee, Joonsuk Huh
doaj   +1 more source

Krylov subspace approximations for the exponential Euler method: error estimates and the harmonic Ritz approximant [PDF]

open access: yes, 2011
We study Krylov subspace methods for approximating the matrix-function vector product φ(tA)b where φ(z) = [exp(z) - 1]/z. This product arises in the numerical integration of large stiff systems of differential equations by the Exponential Euler Method ...
Carr, Elliot, Ilic, Milos, Turner, Ian
core   +3 more sources

A Geometric Multigrid Method for 3D Magnetotelluric Forward Modeling Using Finite-Element Method

open access: yesRemote Sensing, 2023
The traditional three-dimensional (3D) magnetotelluric (MT) forward modeling using Krylov subspace algorithms has the problem of low modeling efficiency.
Xianyang Huang   +8 more
doaj   +1 more source

Convergence rates for inverse-free rational approximation of matrix functions [PDF]

open access: yes, 2016
This article deduces geometric convergence rates for approximating matrix functions via inverse-free rational Krylov methods. In applications one frequently encounters matrix functions such as the matrix exponential or matrix logarithm; often the matrix ...
Jagels, Carl   +3 more
core   +2 more sources

Extending quasi-GMRES method to solve generalized Sylvester tensor equations via the Einstein product [PDF]

open access: yesIranian Journal of Numerical Analysis and Optimization
This paper aims to extend a Krylov subspace technique based on an in-complete orthogonalization of Krylov tensors (as a multidimensional exten-sion of the common Krylov vectors) to solve generalized Sylvester tensor equations via the Einstein product ...
M.M. Izadkhah
doaj   +1 more source

Biorthogonal rational Krylov subspace methods [PDF]

open access: yesETNA - Electronic Transactions on Numerical Analysis, 2019
Summary: A general framework for oblique projections of non-Hermitian matrices onto rational Krylov subspaces is developed. To obtain this framework we revisit the classical rational Krylov subspace algorithm and prove that the projected matrix can be written efficiently as a structured pencil, where the structure can take several forms such as ...
Van Buggenhout, Niel   +2 more
openaire   +2 more sources

A framework for deflated and augmented Krylov subspace methods [PDF]

open access: yes, 2013
We consider deflation and augmentation techniques for accelerating the convergence of Krylov subspace methods for the solution of nonsingular linear algebraic systems.
André Gaul   +4 more
core   +3 more sources

On Numerical Approximations of the Koopman Operator

open access: yesMathematics, 2022
We study numerical approaches to computation of spectral properties of composition operators. We provide a characterization of Koopman Modes in Banach spaces using Generalized Laplace Analysis.
Igor Mezić
doaj   +1 more source

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