Higher-Dimensional Information Lattice: Quantum State Characterization through Inclusion-Exclusion Local Information
- URL: http://arxiv.org/abs/2512.20793v1
- Date: Tue, 23 Dec 2025 21:41:19 GMT
- Title: Higher-Dimensional Information Lattice: Quantum State Characterization through Inclusion-Exclusion Local Information
- Authors: Ian Matthias Flór, Claudia Artiaco, Thomas Klein Kvorning, Jens H. Bardarson,
- Abstract summary: We generalize the information lattice to characterize quantum many-body states in higher-dimensional geometries.<n>Our work establishes a general information-theoretic framework for isolating the universal scale-resolved features of quantum many-body states.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We generalize the information lattice, originally defined for one-dimensional open-boundary chains, to characterize quantum many-body states in higher-dimensional geometries. In one dimension, the information lattice provides a position- and scale-resolved decomposition of von Neumann information. Its generalization is nontrivial because overlapping subsystems can form loops, allowing multiple regions to encode the same information. This prevents information from being assigned uniquely to any one of them. We address this by introducing a higher-dimensional information lattice in which local information is defined through an inclusion-exclusion principle. The inclusion-exclusion local information is assigned to the lattice vertices, each labeled by subsystem position and scale. We implement this construction explicitly in two dimensions and apply it to a range of many-body ground states with distinct entanglement structures. Within this position- and scale-resolved framework, we extract information-based localization lengths, direction-dependent critical exponents, characteristic edge mode information, long-range information patterns due to topological order, and signatures of non-Abelian fusion channels. Our work establishes a general information-theoretic framework for isolating the universal scale-resolved features of quantum many-body states in higher-dimensional geometries.
Related papers
- Information phases of partial projected ensembles generated from random quantum states [0.0]
We show how Holevo information is scaled in partial projected ensembles in Haar-random states.<n>In one phase, the Holevo information decays exponentially with system size, while in the other it grows linearly.<n>The exponentially decaying phase rigorously establishes the existence of a measurement-invisible quantum-correlated phase.
arXiv Detail & Related papers (2025-11-13T18:33:59Z) - Local Information-Theoretic Security via Euclidean Geometry [0.0]
This paper introduces a methodology based on Euclidean information theory to investigate local properties of secure communication over memoryless wiretap channels.<n>We analyze both the information leakage to an eavesdropper informational efficiency and the largest generalized cost of a secret message.
arXiv Detail & Related papers (2025-10-15T15:19:59Z) - Local Information Flow in Quantum Quench Dynamics [0.0]
We investigate the out-of-equilibrium dynamics of quantum information in one-dimensional systems undergoing a quantum quench.<n>This framework provides a scale- and space-resolved decomposition of quantum correlations.<n>We analytically explain the fractional von Neumann entropy values observed in Majorana quench protocols.
arXiv Detail & Related papers (2025-05-01T14:04:27Z) - Mesh Denoising Transformer [104.5404564075393]
Mesh denoising is aimed at removing noise from input meshes while preserving their feature structures.
SurfaceFormer is a pioneering Transformer-based mesh denoising framework.
New representation known as Local Surface Descriptor captures local geometric intricacies.
Denoising Transformer module receives the multimodal information and achieves efficient global feature aggregation.
arXiv Detail & Related papers (2024-05-10T15:27:43Z) - Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein [56.62376364594194]
Unsupervised learning aims to capture the underlying structure of potentially large and high-dimensional datasets.<n>In this work, we revisit these approaches under the lens of optimal transport and exhibit relationships with the Gromov-Wasserstein problem.<n>This unveils a new general framework, called distributional reduction, that recovers DR and clustering as special cases and allows addressing them jointly within a single optimization problem.
arXiv Detail & Related papers (2024-02-03T19:00:19Z) - Gaussian Entanglement Measure: Applications to Multipartite Entanglement
of Graph States and Bosonic Field Theory [50.24983453990065]
An entanglement measure based on the Fubini-Study metric has been recently introduced by Cocchiarella and co-workers.
We present the Gaussian Entanglement Measure (GEM), a generalization of geometric entanglement measure for multimode Gaussian states.
By providing a computable multipartite entanglement measure for systems with a large number of degrees of freedom, we show that our definition can be used to obtain insights into a free bosonic field theory.
arXiv Detail & Related papers (2024-01-31T15:50:50Z) - Intrinsic dimension estimation for discrete metrics [65.5438227932088]
In this letter we introduce an algorithm to infer the intrinsic dimension (ID) of datasets embedded in discrete spaces.
We demonstrate its accuracy on benchmark datasets, and we apply it to analyze a metagenomic dataset for species fingerprinting.
This suggests that evolutive pressure acts on a low-dimensional manifold despite the high-dimensionality of sequences' space.
arXiv Detail & Related papers (2022-07-20T06:38:36Z) - Holographic properties of superposed quantum geometries [0.0]
We study the holographic properties of a class of quantum geometry states characterized by a superposition of discrete geometric data.
This class includes spin networks, the kinematic states of lattice gauge theory and discrete quantum gravity.
arXiv Detail & Related papers (2022-07-15T17:37:47Z) - A Short Note on the Relationship of Information Gain and Eluder
Dimension [86.86653394312134]
We show that eluder dimension and information gain are equivalent in a precise sense for reproducing kernel Hilbert spaces.
We show that this is not a coincidence -- eluder dimension and information gain are equivalent in a precise sense for reproducing kernel Hilbert spaces.
arXiv Detail & Related papers (2021-07-06T04:01:22Z) - Time-evolution of local information: thermalization dynamics of local
observables [0.0]
Quantum many-body dynamics results in increasing entanglement that eventually leads to thermalization of local observables.
For accurate but approximate simulations one needs a way to keep track of essential (quantum) information while discarding inessential one.
We first introduce the concept of the information lattice, which supplements the physical spatial lattice with an additional dimension and where a local Hamiltonian gives rise to well defined locally conserved von Neumann information current.
arXiv Detail & Related papers (2021-05-24T11:22:30Z) - Tracing Information Flow from Open Quantum Systems [52.77024349608834]
We use photons in a waveguide array to implement a quantum simulation of the coupling of a qubit with a low-dimensional discrete environment.
Using the trace distance between quantum states as a measure of information, we analyze different types of information transfer.
arXiv Detail & Related papers (2021-03-22T16:38:31Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.