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相关论文: MPS Stability and the Intersection Property

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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…

最优化与控制 · 数学 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…

量子物理 · 物理学 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…

强关联电子 · 物理学 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…

计算几何 · 计算机科学 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…

最优化与控制 · 数学 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…

偏微分方程分析 · 数学 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…

强关联电子 · 物理学 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…

强关联电子 · 物理学 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…

数值分析 · 数学 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…

量子物理 · 物理学 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…

一般拓扑 · 数学 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…

量子物理 · 物理学 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…

量子物理 · 物理学 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…

高能物理 - 理论 · 物理学 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…

量子物理 · 物理学 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…

无序系统与神经网络 · 物理学 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…

强关联电子 · 物理学 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…

软凝聚态物质 · 物理学 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…

其他凝聚态物理 · 物理学 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…

量子物理 · 物理学 2025-01-22 Guglielmo Lami , Jacopo De Nardis , Xhek Turkeshi