Quantum SVR for Chlorophyll Concentration Estimation in Water With Remote Sensing-Reference-Cited by-同舟云学术

Quantum SVR for Chlorophyll Concentration Estimation in Water With Remote Sensing

Published:2022 Issue: Volume:19 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Pasetto Edoardo¹^ORCID,Riedel Morris¹,Melgani Farid²^ORCID,Michielsen Kristel¹,Cavallaro Gabriele¹^ORCID

Affiliation:

1. Jülich Supercomputing Centre, Jülich, Germany

2. Department of Information Engineering and Computer Science, University of Trento, Trento, Italy

Funder

Jülich Supercomputing Centre through the Jülich UNified Infrastructure for Quantum Computing

German Federal Ministry of Education and Research (BMBF) and the Ministry of Culture and Science of the State of North Rhine-Westphalia through the Project JUNIQ

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/9651998/09862956.pdf?arnumber=9862956

Reference29 articles.

1. Prediction by linear regression on a quantum computer

2. An improved quantum algorithm for ridge regression

3. Quantum annealing versus classical machine learning applied to a simplified computational biology problem

4. Support vector machines on the D-Wave quantum annealer

5. Quantum stochastic optimization

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