Cover Image

Computing excited states with isometric tensor networks in two-dimensions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dektor, Alec, Chi, Runze, Van Beeumen, Roel, Yang, Chao
Format:	Preprint
Published:	2025
Subjects:	Numerical Analysis 65F15, 15A69
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Inexact subspace projection methods for low-rank tensor eigenvalue problems
by: Dektor, Alec, et al.
Published: (2025)

Sampling two-dimensional isometric tensor network states
by: Dektor, Alec, et al.
Published: (2026)

Effective algorithms for tensor train decomposition via the UTV framework
by: Wang, Yuchao, et al.
Published: (2025)

Hybrid CUR-type decomposition of tensors in the Tucker format
by: Begovic, Erna
Published: (2020)

A multilinear Nyström algorithm for low-rank approximation of tensors in Tucker format
by: Bucci, Alberto, et al.
Published: (2023)

Trace maximization algorithm for the approximate tensor diagonalization
by: Begovic, Erna, et al.
Published: (2021)

Convergence of the alternating least squares algorithm for CP tensor decompositions
by: Hu, Nicholas, et al.
Published: (2025)

Convergence of a Jacobi-type method for the approximate orthogonal tensor diagonalization
by: Begovic, Erna
Published: (2021)

A Newton method for solving locally definite multiparameter eigenvalue problems by multiindex
by: Eisenmann, Henrik
Published: (2024)

Diagonal Gaussian Mixture Models and Higher Order Tensor Decompositions
by: Guo, Bingni, et al.
Published: (2024)

A chiseling algorithm for low-rank Grassmann decomposition of skew-symmetric tensors
by: Vannieuwenhoven, Nick
Published: (2024)

Distributed memory parallel adaptive tensor-train cross approximation
by: Shi, Tianyi, et al.
Published: (2024)

Solving high-dimensional Kolmogorov backward equations with functional hierarchical tensor operators
by: Tang, Xun, et al.
Published: (2024)

HOSCF: Efficient decoupling algorithms for finding the best rank-one approximation of higher-order tensors
by: Xiao, Chuanfu, et al.
Published: (2024)

Low-rank eigenvalue solvers for block-sparse matrix product states
by: Bachmayr, Markus, et al.
Published: (2026)

A Family of Iterative Methods for Computing Generalized Inverses of Quaternion Matrices and its Applications
by: Karmakar, Biswarup, et al.
Published: (2026)

Randomized algorithms for streaming low-rank approximation in tree tensor network format
by: Bucci, Alberto, et al.
Published: (2024)

Goal-Oriented Low-Rank Tensor Decompositions for Numerical Simulation Data
by: Dunlavy, Daniel M., et al.
Published: (2025)

Hamiltonian and Symplectic Tensors in the T-product Algebra
by: Lopez-Moreno, Susana, et al.
Published: (2026)

Tensor Deli: Tensor Completion for Low CP-Rank Tensors via Random Sampling
by: Haselby, Cullen, et al.
Published: (2024)

Randomized algorithms for computing the tensor train approximation and their applications
by: Che, Maolin, et al.
Published: (2024)

Structure-Informed Bounds on the Kronecker Rank of Block-Structured Matrices
by: Fuller, Allison, et al.
Published: (2026)

Iterative Methods for Computing the T-Square Root of Third-Order Tensors
by: Sharma, Hemant, et al.
Published: (2026)

A tensor-based dynamic mode decomposition based on the $\star_{\boldsymbol{M}}$-product
by: Saibaba, Arvind K., et al.
Published: (2025)

A sequential multilinear Nyström algorithm for streaming low-rank approximation of tensors in Tucker format
by: Bucci, Alberto, et al.
Published: (2024)

Tensor-structured PCG for finite difference solver of domain patterns in ferroelectric material
by: Chumchal, Věnceslav, et al.
Published: (2025)

Optimization on the Extended Tensor-Train Manifold with Shared Factors
by: Molozhavenko, Alexander, et al.
Published: (2025)

A Variational Characterization and A Line Search Newton-Noda Method for the unifying spectral problem of nonnegative tensors
by: Xu, Jiefeng, et al.
Published: (2025)

Stochastic Gradient Descent for Incomplete Tensor Linear Systems
by: Ma, Anna, et al.
Published: (2025)

Randomized methods for computing joint eigenvalues, with applications to multiparameter eigenvalue problems and root finding
by: He, Haoze, et al.
Published: (2024)

Minimality of Tree Tensor Network Ranks
by: Jovcheva, Jana, et al.
Published: (2025)

A Hidden Variable Resultant Method for the Polynomial Multiparameter Eigenvalue Problem
by: Graf, Emil, et al.
Published: (2025)

Estimates for the quantized tensor train ranks for the power functions
by: Matveev, Sergey A., et al.
Published: (2024)

Efficient randomized algorithms for the fixed Tucker-rank problem of Tucker decomposition with adaptive shifts
by: Che, Maolin, et al.
Published: (2025)

An NPDo Approach for Tensor Block-Diagonalization
by: Li, Ren-Cang, et al.
Published: (2026)

Fast and Accurate Interpolative Decompositions for General, Sparse, and Structured Tensors
by: Zhang, Yifan, et al.
Published: (2025)

Fast and Accurate CP-HIFI Tensor Decompositions: Exploiting Kronecker Structure
by: Brust, Johannes J., et al.
Published: (2026)

Robust Eigenvectors of Symmetric Tensors
by: Muller, Tommi, et al.
Published: (2021)

Frontal Slice Approaches for Tensor Linear Systems
by: Luo, Hengrui, et al.
Published: (2024)

Low-rank optimization on Tucker tensor varieties
by: Gao, Bin, et al.
Published: (2023)