Provable bounds for noise-free expectation values computed from noisy samples
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Provable bounds for noise-free expectation values computed from noisy samples ; volume:4 ; number:11 ; day:1 ; month:11 ; year:2024 ; pages:865-875 ; date:11.2024
Nature computational science ; 4, Heft 11 (1.11.2024), 865-875, 11.2024
- Urheber
-
Barron, Samantha V.
Egger, Daniel J.
Pelofske, Elijah
Bärtschi, Andreas
Eidenbenz, Stephan
Lehmkuehler, Matthis
Woerner, Stefan
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s43588-024-00709-1
- URN
-
urn:nbn:de:101:1-2502052114306.183922120392
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:39 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
- Barron, Samantha V.
- Egger, Daniel J.
- Pelofske, Elijah
- Bärtschi, Andreas
- Eidenbenz, Stephan
- Lehmkuehler, Matthis
- Woerner, Stefan
- SpringerLink (Online service)
Ähnliche Objekte (12)
Fundamental noisy multiparameter quantum bounds
Separating hard clean samples from noisy samples with samples’ learning risk for DNN when learning with noisy labels
Expectation and duration at the effective lower bound
Parallel implementation of surface reconstruction from noisy samples
Parallel implementation of curve reconstruction from noisy samples
Second-order lower bounds on the expectation of a convex function
Higher-Order Upper Bounds on the Expectation of a Convex Function
LEARNING FROM NOISY SAMPLES FOR MAN-MADE IMPERVIOUS SURFACE MAPPING
Upper bounds on fault tolerance thresholds of noisy Clifford-based quantum computers
Expectation management
Expectation management
Simulation Expectation
Fundamental noisy multiparameter quantum bounds
Separating hard clean samples from noisy samples with samples’ learning risk for DNN when learning with noisy labels
Expectation and duration at the effective lower bound
Parallel implementation of surface reconstruction from noisy samples
Parallel implementation of curve reconstruction from noisy samples
Second-order lower bounds on the expectation of a convex function
Higher-Order Upper Bounds on the Expectation of a Convex Function
LEARNING FROM NOISY SAMPLES FOR MAN-MADE IMPERVIOUS SURFACE MAPPING
Upper bounds on fault tolerance thresholds of noisy Clifford-based quantum computers
Expectation management
Expectation management
Simulation Expectation
Fundamental noisy multiparameter quantum bounds
Separating hard clean samples from noisy samples with samples’ learning risk for DNN when learning with noisy labels
Expectation and duration at the effective lower bound
Parallel implementation of surface reconstruction from noisy samples
Parallel implementation of curve reconstruction from noisy samples
Second-order lower bounds on the expectation of a convex function
Higher-Order Upper Bounds on the Expectation of a Convex Function
LEARNING FROM NOISY SAMPLES FOR MAN-MADE IMPERVIOUS SURFACE MAPPING
Upper bounds on fault tolerance thresholds of noisy Clifford-based quantum computers
Expectation management
Expectation management