Otgonbaatar, Soronzonbold und Datcu, Mihai (2022) Advancing of Earth Observation Methodologies by using a Quantum Computer. Living Planet Symposium 2022, 2022-05-23 - 2022-05-27, Bonn, Germany.
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Kurzfassung
Remotely-sensed images obtained from aircraft and satellite platforms are used for Earth observation tasks. The remotely-sensed images are available in digital format and contain information on the number of spectral bands, radiometric resolution, and spatial resolution. We performed the first exploratory studies for applying quantum computers to remotely-sensed images and problems. Parametrized quantum circuits solve optimization problems and can be utilized as a learning model exploiting different mechanisms and techniques of quantum physics. As a case example, we present therefore the result that parametrized quantum circuits are very competitive in contrast with its classical neural networks.
elib-URL des Eintrags: | https://elib.dlr.de/186540/ | ||||||||||||
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Dokumentart: | Konferenzbeitrag (Poster) | ||||||||||||
Titel: | Advancing of Earth Observation Methodologies by using a Quantum Computer | ||||||||||||
Autoren: |
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Datum: | 23 Mai 2022 | ||||||||||||
Referierte Publikation: | Nein | ||||||||||||
Open Access: | Ja | ||||||||||||
Gold Open Access: | Nein | ||||||||||||
In SCOPUS: | Nein | ||||||||||||
In ISI Web of Science: | Nein | ||||||||||||
Status: | veröffentlicht | ||||||||||||
Stichwörter: | quantum computing, machine learning, deep learning, quantum machine learning, quantum artificial intelligence, remote sensing, earth observation | ||||||||||||
Veranstaltungstitel: | Living Planet Symposium 2022 | ||||||||||||
Veranstaltungsort: | Bonn, Germany | ||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||
Veranstaltungsbeginn: | 23 Mai 2022 | ||||||||||||
Veranstaltungsende: | 27 Mai 2022 | ||||||||||||
Veranstalter : | European Space Agency | ||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Künstliche Intelligenz | ||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > EO Data Science | ||||||||||||
Hinterlegt von: | Otgonbaatar, Soronzonbold | ||||||||||||
Hinterlegt am: | 24 Mai 2022 13:36 | ||||||||||||
Letzte Änderung: | 24 Apr 2024 20:47 |
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