Quantum machine learning-based parametrizations in Earth system models

Dogra, Lena Hannah and Pastori, Lorenzo and Schwabe, Mierk and Eyring, Veronika (2023) Quantum machine learning-based parametrizations in Earth system models. Summer School on Quantum Information Processing, 2023-08-28 - 2023-09-01, Jülich, Germany.

PDF - Only accessible within DLR
1MB

Item URL in elib:

https://elib.dlr.de/200397/

Document Type:

Conference or Workshop Item (Poster)

Title:

Quantum machine learning-based parametrizations in Earth system models

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Dogra, Lena Hannah	DLR, IPA	UNSPECIFIED	UNSPECIFIED
Pastori, Lorenzo	DLR, IPA	https://orcid.org/0000-0001-5882-8482	148025378
Schwabe, Mierk	DLR, IPA	https://orcid.org/0000-0001-6565-5890	UNSPECIFIED
Eyring, Veronika	DLR, IPA	https://orcid.org/0000-0002-6887-4885	UNSPECIFIED

Date:

August 2023

Refereed publication:

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

Quantum Computing, Quantum Machine Learning, Climate Modeling, Subgridscale Parametrization

Event Title:

Summer School on Quantum Information Processing

Event Location:

Jülich, Germany

Event Type:

Other

Event Start Date:

28 August 2023

Event End Date:

1 September 2023

Organizer:

Jülich Supercomputing Centre

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

Earth Observation

DLR - Research area:

Raumfahrt

DLR - Program:

R EO - Earth Observation

DLR - Research theme (Project):

R - Atmospheric and climate research, R - Quantum computing

Location:

Ulm

Institutes and Institutions:

Institute of Atmospheric Physics > Earth System Modelling

Deposited By:

Dogra, Lena Hannah

Deposited On:

04 Dec 2023 13:53

Last Modified:

24 Apr 2024 21:00

Repository Staff Only: item control page