Permutation invariant encodings for quantum machine learning with point cloud data
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Permutation invariant encodings for quantum machine learning with point cloud data ; volume:6 ; number:1 ; day:2 ; month:5 ; year:2024 ; pages:1-14 ; date:6.2024
Quantum machine intelligence ; 6, Heft 1 (2.5.2024), 1-14, 6.2024
- Creator
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Heredge, Jamie
Hill, Charles
Hollenberg, Lloyd
Sevior, Martin
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s42484-024-00156-1
- URN
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urn:nbn:de:101:1-2409170854451.594701080552
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:25 AM CEST
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Associated
- Heredge, Jamie
- Hill, Charles
- Hollenberg, Lloyd
- Sevior, Martin
- SpringerLink (Online service)
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Gauged permutation invariant matrix quantum mechanics: path integrals
Gauged permutation invariant matrix quantum mechanics: partition functions
Point cloud registration of arrester based on scale-invariant points feature histogram
Permutation invariant strong law of large numbers for exchangeable sequences
Cutoff for conjugacy-invariant random walks on the permutation group
DeepTable: a permutation invariant neural network for table orientation classification
Hidden symmetries and large N factorisation for permutation invariant matrix observables
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