Image de couverture de livre

Computing vibrational energy levels by solving linear equations using a tensor method with an imposed rank

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kallullathil, Sangeeth Das, Carrington, Tucker
Format:	Preprint
Publié:	2021
Sujets:	Computational Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Simulating Vibrational Dynamics on Bosonic Quantum Devices
par: Malpathak, Shreyas, et autres
Publié: (2024)

Trotter simulation of vibrational Hamiltonians on a quantum computer
par: Malpathak, Shreyas, et autres
Publié: (2025)

Higher order Jacobi method for solving system of linear equations
par: Goona, Nithin Kumar, et autres
Publié: (2025)

Quantized tensor networks for solving the Vlasov-Maxwell equations
par: Ye, Erika, et autres
Publié: (2023)

Improving the convergence of an iterative algorithm for solving arbitrary linear equation systems using classical or quantum binary optimization
par: Castro, Erick R., et autres
Publié: (2023)

A numerical algorithm for solving the coupled Schrödinger equations using inverse power method
par: Zhao, Jiaxing, et autres
Publié: (2024)

Benchmarking vibrational spectra: 5000 accurate eigenstates of acetonitrile using tree tensor network states
par: Larsson, Henrik R.
Publié: (2025)

The Quantization Monte Carlo method for solving radiative transport equations
par: Laguzet, Laetitia, et autres
Publié: (2023)

A Lagrangian method for solving the spherical shallow water equations using power diagrams
par: Caplan, Philip, et autres
Publié: (2025)

An iterative Monte Carlo method to solve nonlinear second-order differential equations
par: Chávez-Páez, Martín, et autres
Publié: (2024)

Computing excited eigenstates using inexact Lanczos methods and tree tensor network states
par: Rano, Madhumita, et autres
Publié: (2025)

Programming guide for solving constraint satisfaction problems with tensor networks
par: Gao, Xuanzhao, et autres
Publié: (2024)

TTNOpt: Tree tensor network package for high-rank tensor compression
par: Watanabe, Ryo, et autres
Publié: (2025)

Accurate, full-dimensional computations of thousands of complex vibrational eigenstates with tree tensor network states
par: Larsson, Henrik R., et autres
Publié: (2026)

Collocation methods for nonlinear differential equations on low-rank manifolds
par: Dektor, Alec
Publié: (2024)

A finite element method using a bounded auxiliary variable for solving the Richards equation
par: Benfanich, Abderrahmane, et autres
Publié: (2025)

General method for solving nonlinear optical scattering problems using fix point iterations
par: Jakobsen, Per Kristen
Publié: (2025)

Adaptive hyperviscosity stabilisation for the RBF-FD method in solving advection-dominated transport equations
par: Rot, Miha, et autres
Publié: (2025)

Iterative methods of linearized moment equations for rarefied gases
par: Dong, Xiaoyu, et autres
Publié: (2023)

Corner cases of the tau method: symmetrically imposing boundary conditions on hypercubes
par: Burns, Keaton J., et autres
Publié: (2022)

Discreteness of asymptotic tensor ranks
par: Briët, Jop, et autres
Publié: (2023)

Feasibility study on solving the Helmholtz equation in 3D with PINNs
par: Schoder, Stefan, et autres
Publié: (2024)

A log-linear time algorithm for the elastodynamic boundary integral equation method
par: Sato, Dye SK, et autres
Publié: (2019)

The Dirac equation as a linear tensor equation for one component
par: Akhmeteli, Andrey
Publié: (2023)

Self-supervised neural operator for solving partial differential equations
par: You, Wen, et autres
Publié: (2025)

Asymptotic tensor rank is characterized by polynomials
par: Christandl, Matthias, et autres
Publié: (2024)

Coupling finite and boundary element methods to solve the Poisson--Boltzmann equation for electrostatics in molecular solvation
par: Bosy, Michal, et autres
Publié: (2023)

A nonlinear system related to investment under uncertainty solved using the fractional pseudo-Newton method
par: Torres-Hernandez, A., et autres
Publié: (2020)

A stable and fast method for solving multibody scattering problems via the method of fundamental solutions
par: Cai, Yunhui, et autres
Publié: (2026)

RAMS: Residual-based adversarial-gradient moving sample method for scientific machine learning in solving partial differential equations
par: Ouyang, Weihang, et autres
Publié: (2025)

Multi-stream physics hybrid networks for solving Navier-Stokes equations
par: Sedykh, Aleksandr, et autres
Publié: (2025)

Improving HISQ propagator solves using deflation
par: Hostetler, Leon, et autres
Publié: (2025)

On the rank-reduced relativistic coupled cluster method
par: Oleynichenko, Alexander V., et autres
Publié: (2025)

A stochastic branching particle method for solving non-conservative reaction-diffusion equations
par: Lyu, Liyao, et autres
Publié: (2025)

Assessing quantum dot SWAP gate fidelity using tensor network methods
par: Taylor, Jacob R., et autres
Publié: (2023)

A simple analysis of a quantum-inspired algorithm for solving low-rank linear systems
par: Chen, Tyler, et autres
Publié: (2025)

A deep neural network approach to solve the Dirac equation
par: Wang, Chuanxin, et autres
Publié: (2024)

Trotter-based quantum algorithm for solving transport equations with exponentially fewer time-steps
par: Zylberman, Julien, et autres
Publié: (2025)

Adaptive tensor train metadynamics for high-dimensional free energy exploration
par: Strand, Nils E., et autres
Publié: (2026)

Optimizing a DIscrete Loss (ODIL) to solve forward and inverse problems for partial differential equations using machine learning tools
par: Karnakov, Petr, et autres
Publié: (2022)