- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Theoretical guarantees for permutation-equivariant quantum neural networks ; volume:10 ; number:1 ; day:22 ; month:1 ; year:2024 ; pages:1-14 ; date:12.2024
npj Quantum information ; 10, Heft 1 (22.1.2024), 1-14, 12.2024
- Urheber
-
Schatzki, Louis
Larocca, Martín
Nguyen, Quynh T.
Sauvage, Frédéric
Cerezo, M.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41534-024-00804-1
- URN
-
urn:nbn:de:101:1-2024040121344889893949
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:51 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Schatzki, Louis
- Larocca, Martín
- Nguyen, Quynh T.
- Sauvage, Frédéric
- Cerezo, M.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Permutation equivariant ribbon categories from modular functors
Automated, Scalable Bayesian Inference with Theoretical Guarantees
Theoretical learning guarantees applied to acoustic modeling
Geometric deep learning and equivariant neural networks
PDE-Based Group Equivariant Convolutional Neural Networks
Explainable equivariant neural networks for particle physics: PELICAN
Equivariant neural network force fields for magnetic materials
Homogeneous vector bundles and G-equivariant convolutional neural networks
Classification of rotation-invariant biomedical images using equivariant neural networks
An efficient Lorentz equivariant graph neural network for jet tagging
Linear regression with partially mismatched data: local search with theoretical guarantees
Twisted equivariant K-theory and equivariant T-duality
Permutation equivariant ribbon categories from modular functors
Automated, Scalable Bayesian Inference with Theoretical Guarantees
Theoretical learning guarantees applied to acoustic modeling
Geometric deep learning and equivariant neural networks
PDE-Based Group Equivariant Convolutional Neural Networks
Explainable equivariant neural networks for particle physics: PELICAN
Equivariant neural network force fields for magnetic materials
Homogeneous vector bundles and G-equivariant convolutional neural networks
Classification of rotation-invariant biomedical images using equivariant neural networks
An efficient Lorentz equivariant graph neural network for jet tagging
Linear regression with partially mismatched data: local search with theoretical guarantees
Twisted equivariant K-theory and equivariant T-duality
Permutation equivariant ribbon categories from modular functors
Automated, Scalable Bayesian Inference with Theoretical Guarantees
Theoretical learning guarantees applied to acoustic modeling
Geometric deep learning and equivariant neural networks
PDE-Based Group Equivariant Convolutional Neural Networks
Explainable equivariant neural networks for particle physics: PELICAN
Equivariant neural network force fields for magnetic materials
Homogeneous vector bundles and G-equivariant convolutional neural networks
Classification of rotation-invariant biomedical images using equivariant neural networks
An efficient Lorentz equivariant graph neural network for jet tagging
Linear regression with partially mismatched data: local search with theoretical guarantees