000909064 001__ 909064
000909064 005__ 20220822191449.0
000909064 0247_ $$2doi$$a10.36227/techrxiv.19619676.v1
000909064 0247_ $$2Handle$$a2128/31648
000909064 037__ $$aFZJ-2022-02982
000909064 1001_ $$0P:(DE-Juel1)191143$$aPasetto, Edoardo$$b0$$ufzj
000909064 245__ $$aQuantum SVR for Chlorophyll Concentration Estimation in Water with Remote Sensing
000909064 260__ $$c2022
000909064 3367_ $$0PUB:(DE-HGF)25$$2PUB:(DE-HGF)$$aPreprint$$bpreprint$$mpreprint$$s1661157777_5165
000909064 3367_ $$2ORCID$$aWORKING_PAPER
000909064 3367_ $$028$$2EndNote$$aElectronic Article
000909064 3367_ $$2DRIVER$$apreprint
000909064 3367_ $$2BibTeX$$aARTICLE
000909064 3367_ $$2DataCite$$aOutput Types/Working Paper
000909064 520__ $$aThe increasing availability of quantum computers motivates researching their potential capabilities in enhancing the performance of data analysis algorithms. Similarly as in other research communities, also in Remote Sensing (RS) it is not yet defined how its applications can benefit from the usage of quantum computing. This paper proposes a formulation of the Support Vector Regression (SVR) algorithm that can be executed by D-Wave quantum computers. Specifically, the SVR is mapped to a Quadratic Unconstrained Binary Optimization (QUBO) optimization problem that is solved with Quantum Annealing (QA). The algorithm is tested on two different types of computing environments offered by D-Wave: The Advantage system, which directly embeds the problem into the Quantum Processing Unit (QPU), and a Hybrid solver that employs both classical and quantum computing resources. For the evaluation, we considered a biophysical variable estimation problem with RS data. The experimental results show that the proposed quantum SVR implementation can achieve comparable or in some cases better results than the classical implementation. This work is one of the first attempts to provide insight into how QA could be exploited and integrated in future RS workflows based on Machine Learning algorithms.
000909064 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
000909064 536__ $$0G:(DE-HGF)POF4-5112$$a5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x1
000909064 588__ $$aDataset connected to CrossRef
000909064 7001_ $$0P:(DE-Juel1)132239$$aRiedel, Morris$$b1
000909064 7001_ $$0P:(DE-HGF)0$$aMelgani, Farid$$b2
000909064 7001_ $$0P:(DE-Juel1)138295$$aMichielsen, Kristel$$b3$$ufzj
000909064 7001_ $$0P:(DE-Juel1)171343$$aCavallaro, Gabriele$$b4$$eCorresponding author$$ufzj
000909064 773__ $$a10.36227/techrxiv.19619676.v1
000909064 8564_ $$uhttps://juser.fz-juelich.de/record/909064/files/Edoardo_Pasetto_Manuscript_April_20_2022.pdf$$yOpenAccess
000909064 909CO $$ooai:juser.fz-juelich.de:909064$$popenaire$$popen_access$$pVDB$$pdriver$$pdnbdelivery
000909064 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)191143$$aForschungszentrum Jülich$$b0$$kFZJ
000909064 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132239$$aForschungszentrum Jülich$$b1$$kFZJ
000909064 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)138295$$aForschungszentrum Jülich$$b3$$kFZJ
000909064 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)171343$$aForschungszentrum Jülich$$b4$$kFZJ
000909064 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5111$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
000909064 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5112$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x1
000909064 9141_ $$y2022
000909064 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000909064 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000909064 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
000909064 9801_ $$aFullTexts
000909064 980__ $$apreprint
000909064 980__ $$aVDB
000909064 980__ $$aUNRESTRICTED
000909064 980__ $$aI:(DE-Juel1)JSC-20090406