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Related papers: MPS Stability and the Intersection Property

200 papers

This paper continues the study of the integral input-to-state stability (IISS) property. It is shown that the IISS property is equivalent to one which arises from the consideration of mixed norms on states and inputs, as well as to the…

Optimization and Control · Mathematics 2007-05-23 David Angeli , Eduardo Sontag , Yuan Wang

In stochastic modeling, there has been a significant effort towards finding predictive models that predict a stochastic process' future using minimal information from its past. Meanwhile, in condensed matter physics, matrix product states…

Quantum Physics · Physics 2019-02-05 Chengran Yang , Felix C. Binder , Varun Narasimhachar , Mile Gu

We reconstruct a matrix product state (MPS) in reduced spaces using density matrix. This scheme applies to a MPS built on a blocked quantum lattice. Each block contains $N$ physical sites that have a local space of rank $R$. The simulation…

Strongly Correlated Electrons · Physics 2018-09-17 Lihua Wang , Kwang S. Kim

By definition, transverse intersections are stable under infinitesimal perturbations. Using persistent homology, we extend this notion to a measure. Given a space of perturbations, we assign to each homology class of the intersection its…

Computational Geometry · Computer Science 2010-04-22 Herbert Edelsbrunner , Dmitriy Morozov , Amit Patel

Semi-tensor product(STP) or matrix (M-) product of matrices turns the set of matrices with arbitrary dimensions into a monoid $({\cal M},\ltimes)$. A matrix (M-) addition is defined over subsets of a partition of ${\cal M}$, and a matrix…

Optimization and Control · Mathematics 2018-01-17 Daizhan Cheng , Zequn Liu , Hongsheng Qi

We prove the regularity of solutions to the strain tensor equation on a region $S$ with the Gauss curvature changing sign. Furthermore, we obtain the density property that smooth infinitesimal isometries are dense in the…

Analysis of PDEs · Mathematics 2021-12-01 Liang-Biao Chen , Peng-Fei Yao

Isometric tensor product states (isoTPS) generalize the isometric form of the one-dimensional matrix product states (MPS) to tensor networks in two and higher dimensions. Here, we introduce an alternative isometric form for isoTPS by…

Strongly Correlated Electrons · Physics 2026-04-15 Benjamin Sappler , Masataka Kawano , Michael P Zaletel , Frank Pollmann

We prove that ground states of gapped local Hamiltonians on an infinite spin chain can be efficiently approximated by matrix product states with a bond dimension which scales as D~(L-1)/epsilon, where any local quantity on L consecutive…

Strongly Correlated Electrons · Physics 2017-11-27 Norbert Schuch , Frank Verstraete

Conjugate partial-symmetric (CPS) tensor is a generalization of Hermitian matrices. For the CPS tensor decomposition some properties are presented. For real CPS tensors in particular, we note the subtle difference from the complex case of…

Numerical Analysis · Mathematics 2021-11-08 Pengfei Huang , Qingzhi Yang

This work gives a detailed investigation of matrix product state (MPS) representations for pure multipartite quantum states. We determine the freedom in representations with and without translation symmetry, derive respective canonical…

Quantum Physics · Physics 2007-08-02 D. Perez-Garcia , F. Verstraete , M. M. Wolf , J. I. Cirac

We consider classes T of topological spaces (referred to as T-spaces) that are stable under continuous images and frequently under arbitrary products. A local T-space has for each point a neighborhood base consisting of subsets that are…

General Topology · Mathematics 2020-10-09 Simon Brandhorst , Marcel Erné

Matrix product states (MPS) are a central language for one-dimensional quantum matter and a practical target for near-term quantum simulators and variational algorithms. Yet, while substantial effort has focused on preparing MPS with…

Quantum Physics · Physics 2026-04-21 Hyunho Cha , Subin Kim , Jungwoo Lee

We study the realization of anyon-permuting symmetries of topological phases on the lattice using tensor networks. Working on the virtual level of a projected entangled pair state, we find matrix product operators (MPOs) that realize all…

Quantum Physics · Physics 2017-12-20 Jacob C. Bridgeman , Stephen D. Bartlett , Andrew C. Doherty

Tensor network states, especially Matrix Product States (MPS), are crucial tools for studying how particles in large quantum systems are entangled with each other. MPS are particularly effective for modeling systems in one-dimensional…

High Energy Physics - Theory · Physics 2025-02-03 Niloofar Vardian

Just as matrix product states represent ground states of one-dimensional quantum spin systems faithfully, continuous matrix product states (cMPS) provide faithful representations of the vacuum of interacting field theories in one spatial…

Quantum Physics · Physics 2022-01-20 Benoît Tuybens , Jacopo De Nardis , Jutho Haegeman , Frank Verstraete

The inverse problem of 'eigenstates-to-Hamiltonian' is considered for an open chain of $N$ quantum spins in the context of Many-Body-Localization. We first construct the simplest basis of the Hilbert space made of $2^N$ orthonormal…

Disordered Systems and Neural Networks · Physics 2021-05-10 Cecile Monthus

The study of frustration-free Hamiltonians and their relation to finite bond-dimension matrix product states (MPS) has a long tradition. However, fractional quantum Hall (FQH) states do not quite fit into this theme since the known MPS…

Strongly Correlated Electrons · Physics 2024-02-06 Matheus Schossler , Li Chen , Alexander Seidel

In this work we investigate structural properties of native states of a simple model for short flexible homopolymers, where the steric influence of monomeric side chains is effectively introduced by a thickness constraint. This geometric…

Soft Condensed Matter · Physics 2010-02-11 Thomas Vogel , Thomas Neuhaus , Michael Bachmann , Wolfhard Janke

We present some exact results for the optimal Matrix Product State (MPS) approximation to the ground state of the infinite isotropic Heisenberg spin-1/2 chain. Our approach is based on the systematic use of Schmidt decompositions to reduce…

Other Condensed Matter · Physics 2015-05-13 José I. Latorre , Vicent Picó

We investigate quantum random tensor network states where the bond dimensions scale polynomially with the system size, $N$. Specifically, we examine the delocalization properties of random Matrix Product States (RMPS) in the computational…

Quantum Physics · Physics 2025-01-22 Guglielmo Lami , Jacopo De Nardis , Xhek Turkeshi