Minimal criteria for continuous-variable genuine multipartite
entanglement
- URL: http://arxiv.org/abs/2401.04376v2
- Date: Mon, 12 Feb 2024 10:40:56 GMT
- Title: Minimal criteria for continuous-variable genuine multipartite
entanglement
- Authors: Olga Leskovjanov\'a and Ladislav Mi\v{s}ta Jr
- Abstract summary: We derive a set of genuine multi-mode entanglement criteria for second moments of the quadrature operators.
A unique feature of the criteria is that the sums contain the least possible number of variances of at most two-mode combinations.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We derive a set of genuine multi-mode entanglement criteria for second
moments of the quadrature operators. The criteria have a common form of the
uncertainty relation between sums of variances of position and momentum
quadrature combinations. A unique feature of the criteria is that the sums
contain the least possible number of variances of at most two-mode
combinations. The number of second moments we need to know to apply the
criteria thus scales only linearly with the number of modes, as opposed to the
quadratic scaling of the already existing criteria. Each criterion is
associated with a tree graph, which allowed us to develop a direct method of
construction of the criteria based solely on the structure of the underlying
tree. The practicality of the proposed criteria is demonstrated by finding a
number of examples of Gaussian states of up to six modes, whose genuine
multi-mode entanglement is detected by them. The designed criteria are
particularly suitable for verification of genuine multipartite entanglement in
large multi-mode states or when only a set of two-mode nearest-neighbour
marginal covariance matrices of the investigated state is available.
Related papers
- Lexicographic optimization-based approaches to learning a representative model for multi-criteria sorting with non-monotonic criteria [5.374419989598479]
This paper proposes some approaches to learning a representative model for MCS problems with non-monotonic criteria.
We first define some transformation functions to map the marginal values and category thresholds into a UTA-like functional space.
We then construct constraint sets to model non-monotonic criteria in MCS problems and develop optimization models to check and rectify the inconsistency of the decision maker's assignment example preference information.
arXiv Detail & Related papers (2024-09-03T05:29:05Z) - Detecting multipartite entanglement via complete orthogonal basis [4.421825850868445]
We derive useful and operational criteria to detect genuine tripartite entanglement and multipartite entanglement.
We study multipartite entanglement in arbitrary dimensional multipartite systems.
arXiv Detail & Related papers (2023-10-10T08:54:16Z) - Detecting continuous variable entanglement in phase space with the
$Q$-distribution [0.0]
We prove a class of continuous variable entanglement criteria based on the Husimi $Q$-distribution.
We discuss their generality, which roots in the possibility to optimize over the set of concave functions.
arXiv Detail & Related papers (2022-11-30T17:01:24Z) - General class of continuous variable entanglement criteria [0.0]
We present a general class of entanglement criteria for continuous variable systems.
Our criteria reveal entanglement of families of states undetected by any commonly used criteria.
arXiv Detail & Related papers (2022-11-30T16:54:39Z) - A Novel Unified Conditional Score-based Generative Framework for
Multi-modal Medical Image Completion [54.512440195060584]
We propose the Unified Multi-Modal Conditional Score-based Generative Model (UMM-CSGM) to take advantage of Score-based Generative Model (SGM)
UMM-CSGM employs a novel multi-in multi-out Conditional Score Network (mm-CSN) to learn a comprehensive set of cross-modal conditional distributions.
Experiments on BraTS19 dataset show that the UMM-CSGM can more reliably synthesize the heterogeneous enhancement and irregular area in tumor-induced lesions.
arXiv Detail & Related papers (2022-07-07T16:57:21Z) - Multipartite spatial entanglement generated by concurrent nonlinear
processes [91.3755431537592]
Continuous variables multipartite entanglement is a key resource for quantum technologies.
This work considers the multipartite entanglement generated in separated spatial modes of the same light beam by three different parametric sources.
arXiv Detail & Related papers (2021-11-09T17:15:13Z) - Universal and data-adaptive algorithms for model selection in linear
contextual bandits [52.47796554359261]
We consider the simplest non-trivial instance of model-selection: distinguishing a simple multi-armed bandit problem from a linear contextual bandit problem.
We introduce new algorithms that explore in a data-adaptive manner and provide guarantees of the form $mathcalO(dalpha T1- alpha)$.
Our approach extends to model selection among nested linear contextual bandits under some additional assumptions.
arXiv Detail & Related papers (2021-11-08T18:05:35Z) - Exact Recovery in the General Hypergraph Stochastic Block Model [92.28929858529679]
This paper investigates fundamental limits of exact recovery in the general d-uniform hypergraph block model (d-HSBM)
We show that there exists a sharp threshold such that exact recovery is achievable above the threshold and impossible below it.
arXiv Detail & Related papers (2021-05-11T03:39:08Z) - Preference learning along multiple criteria: A game-theoretic
perspective [97.94912276610002]
We generalize the notion of a von Neumann winner to the multi-criteria setting by taking inspiration from Blackwell's approachability.
Our framework allows for non-linear aggregation of preferences across criteria, and generalizes the linearization-based approach from multi-objective optimization.
We show that the Blackwell winner of a multi-criteria problem instance can be computed as the solution to a convex optimization problem.
arXiv Detail & Related papers (2021-05-05T03:23:11Z) - A family of multipartite separability criteria based on correlation
tensor [0.0]
A family of separability criteria based on correlation matrix (tensor) is provided.
It unifies several criteria known before like e.g. CCNR or realignment criterion, de Vicente criterion and derived recently separability criterion based on SIC POVMs.
arXiv Detail & Related papers (2020-01-22T20:16:18Z) - Tripartite Genuine Non-Gaussian Entanglement in Three-Mode Spontaneous
Parametric Downconversion [56.12820031986851]
We show that the states generated by a three-mode spontaneous parametric downconversion interaction Hamiltonian possess tripartite entanglement of a different nature to other paradigmatic three-mode entangled states generated by the combination of two-mode SPDCs interactions.
arXiv Detail & Related papers (2020-01-20T10:39:28Z)
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.