Holographic Entropy Inequalities and the Topology of Entanglement Wedge
Nesting
- URL: http://arxiv.org/abs/2309.15145v1
- Date: Tue, 26 Sep 2023 18:00:01 GMT
- Title: Holographic Entropy Inequalities and the Topology of Entanglement Wedge
Nesting
- Authors: Bartlomiej Czech, Sirui Shuai, Yixu Wang and Daiming Zhang
- Abstract summary: We prove two new infinite families of holographic entropy inequalities.
A key tool is a graphical arrangement of terms of inequalities, which is based on entanglement wedge nesting (EWN)
- Score: 0.5852077003870417
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We prove two new infinite families of holographic entropy inequalities. A key
tool is a graphical arrangement of terms of inequalities, which is based on
entanglement wedge nesting (EWN). It associates the inequalities with
tessellations of the torus and the projective plane, which reflect a certain
topological aspect of EWN. The inequalities prove a prior conjecture about the
structure of the holographic entropy cone and show an interesting interplay
with differential entropy.
Related papers
- Towards a complete classification of holographic entropy inequalities [0.10923877073891444]
We use a triality between holographic entropy inequalities, contraction maps and partial cubes.
We show that the validity of a holographic entropy inequality is implied by the existence of a contraction map.
We also demonstrate interesting by-products, most notably, a procedure to generate candidate quantum entropy inequalities.
arXiv Detail & Related papers (2024-09-25T19:55:31Z) - Relative Representations: Topological and Geometric Perspectives [53.88896255693922]
Relative representations are an established approach to zero-shot model stitching.
We introduce a normalization procedure in the relative transformation, resulting in invariance to non-isotropic rescalings and permutations.
Second, we propose to deploy topological densification when fine-tuning relative representations, a topological regularization loss encouraging clustering within classes.
arXiv Detail & Related papers (2024-09-17T08:09:22Z) - What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding [67.59552859593985]
Graph Transformers, which incorporate self-attention and positional encoding, have emerged as a powerful architecture for various graph learning tasks.
This paper introduces first theoretical investigation of a shallow Graph Transformer for semi-supervised classification.
arXiv Detail & Related papers (2024-06-04T05:30:16Z) - Signed graphs in data sciences via communicability geometry [55.2480439325792]
We propose the concept of communicability geometry for signed graphs, proving that metrics in this space, such as the communicability distance and angles, are Euclidean and spherical.
We then apply these metrics to solve several problems in data analysis of signed graphs in a unified way.
arXiv Detail & Related papers (2024-03-12T10:32:35Z) - Two infinite families of facets of the holographic entropy cone [4.851309113635069]
We verify that the recently proven infinite families of holographic entropy inequalities are maximally tight, i.e. they are symmetry facets of the holographic entropy cone.
On star graphs, both families of inequalities quantify how concentrated / spread information is with respect to a dihedral acting on subsystems.
In addition, toric inequalities viewed in the K-basis show an interesting interplay between four-party and six-party perfect tensors.
arXiv Detail & Related papers (2024-01-23T19:00:01Z) - Holographic Entropy Inequalities and Multipartite Entanglement [0.0]
We study holographic entropy inequalities and their structural properties by making use of a judicious grouping of terms into certain multipartite information quantities.
By performing a systematic search over some of these structures, we are able to discover more than 300 novel entropy inequalities for six parties.
arXiv Detail & Related papers (2023-09-12T15:00:32Z) - Topological transitions with continuously monitored free fermions [68.8204255655161]
We show the presence of a topological phase transition that is of a different universality class than that observed in stroboscopic projective circuits.
We find that this entanglement transition is well identified by a combination of the bipartite entanglement entropy and the topological entanglement entropy.
arXiv Detail & Related papers (2021-12-17T22:01:54Z) - Holographic Cone of Average Entropies [0.0]
We conjecture that the holographic cone of average entropies is simplicial and specify all its bounding inequalities.
Its extreme rays combine features of bipartite and perfect tensor entanglement, and correspond to stages of unitary evaporation of old black holes.
arXiv Detail & Related papers (2021-12-01T19:00:04Z) - Geometric phase in a dissipative Jaynes-Cummings model: theoretical
explanation for resonance robustness [68.8204255655161]
We compute the geometric phases acquired in both unitary and dissipative Jaynes-Cummings models.
In the dissipative model, the non-unitary effects arise from the outflow of photons through the cavity walls.
We show the geometric phase is robust, exhibiting a vanishing correction under a non-unitary evolution.
arXiv Detail & Related papers (2021-10-27T15:27:54Z) - Joint Network Topology Inference via Structured Fusion Regularization [70.30364652829164]
Joint network topology inference represents a canonical problem of learning multiple graph Laplacian matrices from heterogeneous graph signals.
We propose a general graph estimator based on a novel structured fusion regularization.
We show that the proposed graph estimator enjoys both high computational efficiency and rigorous theoretical guarantee.
arXiv Detail & Related papers (2021-03-05T04:42:32Z) - Superbalance of Holographic Entropy Inequalities [0.0]
We prove that all non-redundant holographic entropy inequalities are superbalanced.
This is tantamount to proving that besides subadditivity, all non-redundant holographic entropy inequalities are superbalanced.
arXiv Detail & Related papers (2020-02-11T17:24:44Z)
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.