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Universal circuit matrix for adjacency graphs of feedback functions
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J. Zurawiecki
openaire +3 more sources
On the main eigenvalues of universal adjacency matrices and u-controllable graphs [PDF]
A universal adjacency matrix U of a graph G is a linear combination of the 0–1 adjacency matrix A, the diagonal matrix of vertex degrees D, the identity matrix I and the matrix J each of whose entries is 1.
Farrugia, Alexander, Sciriha, Irene
core +2 more sources
The algebra of adjacency patterns: Rees matrix semigroups with reversion [PDF]
We establish a surprisingly close relationship between universal Horn classes of directed graphs and varieties generated by so-called adjacency semigroups which are Rees matrix semigroups over the trivial group with the unary operation of reversion.
D.M. Clark +18 more
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Universal quantum computation by discontinuous quantum walk [PDF]
Quantum walks are the quantum-mechanical analog of random walks, in which a quantum `walker' evolves between initial and final states by traversing the edges of a graph, either in discrete steps from node to node or via continuous evolution under the ...
A. M. Childs +6 more
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Universality in Complex Networks: Random Matrix Analysis [PDF]
We apply random matrix theory to complex networks. We show that nearest neighbor spacing distribution of the eigenvalues of the adjacency matrices of various model networks, namely scale-free, small-world and random networks follow universal Gaussian ...
D. M. Cvetković +3 more
core +5 more sources
Social Network Analysis: A Novel Paradigm for Improving Community Detection
Social network analysis has become increasingly important across a wide range of fields, offering valuable insights into complex systems of interconnected entities. One of the fundamental challenges in this field is the community detection problem, which
Rodrigo Hernández +2 more
doaj +2 more sources
Universal State Transfer on Graphs [PDF]
A continuous-time quantum walk on a graph $G$ is given by the unitary matrix $U(t) = \exp(-itA)$, where $A$ is the Hermitian adjacency matrix of $G$. We say $G$ has pretty good state transfer between vertices $a$ and $b$ if for any $\epsilon > 0$, there ...
Cameron, Stephen +5 more
core +3 more sources
Universally consistent vertex classification for latent positions graphs [PDF]
In this work we show that, using the eigen-decomposition of the adjacency matrix, we can consistently estimate feature maps for latent position graphs with positive definite link function $\kappa$, provided that the latent positions are i.i.d.
Priebe, Carey E. +2 more
core +2 more sources
Digital twins (DTs) have seen widespread application across industries, enabling deep integration of cyber–physical systems. However, previous research has largely focused on domain-specific DTs and lacks a universal, cross-industry modeling framework ...
Xubin Wu +4 more
doaj +2 more sources
Universal Matrix Sparsifiers and Fast Deterministic Algorithms for Linear Algebra [PDF]
Let $\mathbf S \in \mathbb R^{n \times n}$ satisfy $\|\mathbf 1-\mathbf S\|_2\le\epsilon n$, where $\mathbf 1$ is the all ones matrix and $\|\cdot\|_2$ is the spectral norm. It is well-known that there exists such an $\mathbf S$ with just $O(n/\epsilon^2)
Rajarshi Bhattacharjee +4 more
semanticscholar +1 more source

