English
Related papers

Related papers: Clifford Group Equivariant Neural Networks

200 papers

Some connections between quadratic forms over the field of two elements, Clifford algebras of quadratic forms over the real numbers, real graded division algebras, and twisted group algebras will be highlighted. This allows to revisit real…

Rings and Algebras · Mathematics 2020-02-28 Alberto Elduque , Adrián Rodrigo-Escudero

The Clifford defect is a rational number associated to the Weierstrass semigroup at a given point of an algebraic curve. It describes the error-correcting capability of the so-called Modified Algorithm for decoding the corresponding…

We describe derivations of the Clifford algebra of a nondegenerate quadratic form on a countable dimensional vector space over an algebraically closed field of characteristic not equal to $2$. We also construct an algebraic automorphism of…

Rings and Algebras · Mathematics 2024-08-15 Oksana Bezushchak

Introducing products between multivectors of Cl(0,7) and octonions, resulting in an octonion, and leading to the non-associative standard octonionic product in a particular case, we generalize the octonionic X-product, associated with the…

Mathematical Physics · Physics 2012-08-27 Roldao da Rocha , Jayme Vaz,

The geometric calculus based on Clifford algebra is a very useful tool for geometry and physics. It describes a geometric structure which is much richer than the ordinary geometry of spacetime. A Clifford manifold ($C$-space) consists not…

High Energy Physics - Theory · Physics 2007-05-23 Matej Pavsic

Quaternionic Clifford analysis is a recent new branch of Clifford analysis, a higher dimensional function theory which refines harmonic analysis and generalizes to higher dimension the theory of holomorphic functions in the complex plane.…

Complex Variables · Mathematics 2016-04-07 Fred Brackx , Hennie De Schepper , David Eelbode , Roman Lavicka , Vladimir Soucek

The Clifford group is a fundamental structure in quantum information with a wide variety of applications. We discuss the tensor representations of the $q$-qubit Clifford group, which is defined as the normalizer of the $q$-qubit Pauli group…

Quantum Physics · Physics 2018-07-17 Jonas Helsen , Joel J. Wallman , Stephanie Wehner

Soft, porous mechanical metamaterials exhibit pattern transformations that may have important applications in soft robotics, sound reduction and biomedicine. To design these innovative materials, it is important to be able to simulate them…

Soft Condensed Matter · Physics 2025-03-14 Fleur Hendriks , Vlado Menkovski , Martin Doškář , Marc G. D. Geers , Ondřej Rokoš

Classical invariant theory establishes a systematic correspondence between algebraic and smooth invariants for compact and reductive Lie groups. However, the extension of these results to non-compact and non-reductive regimes remains a…

Algebraic Geometry · Mathematics 2026-05-15 Leandro Nery

We show how for $n=2,3 (\mod 4)$ continuous Clifford (geometric) algebra (GA) $Cl_n$-valued admissible wavelets can be constructed using the similitude group $SIM(n)$. We strictly aim for real geometric interpretation, and replace the…

Rings and Algebras · Mathematics 2013-06-10 Eckhard Hitzer

The representation theory of the Clifford group is playing an increasingly prominent role in quantum information theory, including in such diverse use cases as the construction of protocols for quantum system certification, quantum…

Quantum Physics · Physics 2025-09-18 Felipe Montealegre-Mora , David Gross

We introduce the notion of rank of multivector in Clifford geometric algebras of arbitrary dimension without using the corresponding matrix representations and using only geometric algebra operations. We use the concepts of characteristic…

Mathematical Physics · Physics 2025-10-03 D. S. Shirokov

The ability to generalize compositionally is key to understanding the potentially infinite number of sentences that can be constructed in a human language from only a finite number of words. Investigating whether NLP models possess this…

Computation and Language · Computer Science 2022-09-23 Jennifer C. White , Ryan Cotterell

Group equivariant neural networks are growing in importance owing to their ability to generalise well in applications where the data has known underlying symmetries. Recent characterisations of a class of these networks that use high-order…

Machine Learning · Computer Science 2024-12-17 Edward Pearce-Crump , William J. Knottenbelt

Permutation equivariant neural networks are typically used to learn from data that lives on a graph. However, for any graph $G$ that has $n$ vertices, using the symmetric group $S_n$ as its group of symmetries does not take into account the…

Machine Learning · Computer Science 2024-05-29 Edward Pearce-Crump , William J. Knottenbelt

We devise a new type of feedforward neural network. It is equivariant with respect to the unitary group $U(n)$. The input and output can be vectors in $\mathbb{C}^n$ with arbitrary dimension $n$. No convolution layer is required in our…

Machine Learning · Computer Science 2022-08-26 Pui-Wai Ma , T. -H. Hubert Chan

For a space X acted by a finite group $\G$, the product space $X^n$ affords a natural action of the wreath product $\Gn$. In this paper we study the K-groups $K_{\tG_n}(X^n)$ of $\Gn$-equivariant Clifford supermodules on $X^n$. We show that…

Quantum Algebra · Mathematics 2009-11-07 Weiqiang Wang

We use our Clifford algebra technique, that is nilpotents and projectors which are binomials of the Clifford algebra objects $\gamma^a$ with the property $\{\gamma^a,\gamma^b\}_+ = 2 \eta^{ab}$, for representing quantum gates and quantum…

Quantum Physics · Physics 2009-11-13 M. Gregoric , N. S. Mankoc Borstnik

We introduce a practical construction of group-equivariant and permutation-invariant functions of $N$ variables given a finite-dimensional space stable with respect to the group action. The construction applies to any connected linear Lie…

Numerical Analysis · Mathematics 2026-05-25 Eloïse Barthelemy , Geneviève Dusson , Camille Hernandez , Liwei Zhang

Equivariance of linear neural network layers is well studied. In this work, we relax the equivariance condition to only be true in a projective sense. We propose a way to construct a projectively equivariant neural network through building…

Computer Vision and Pattern Recognition · Computer Science 2023-12-21 Georg Bökman , Axel Flinth , Fredrik Kahl
‹ Prev 1 4 5 6 7 8 10 Next ›