[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-118413-en":3,"doc-seo-118413-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},118413,1099514067438,"River Wang","https://ap-avatar.wpscdn.com/avatar/100002539ee87300030?x-image-process=image/resize,m_fixed,w_180,h_180&k=1780474512215547542",6,"Technology","Hyperparameter Tuning for Quantum Machine Learning - Diplomarbeit","The diploma thesis investigates hyperparameter tuning approaches for quantum machine learning, focusing on improving model performance and reliability. It is conducted within the Software Engineering & Internet Computing study framework at TU Wien and supported by academic supervision. The work emphasizes structured research methodology, guided feedback from advisors, and careful attribution of sources. Through dedicated development and evaluation efforts, the thesis aims to provide practical insights for selecting and optimizing hyperparameters in quantum learning workflows.","Hyperparameter Tuning for Quantum Machine Learning  \nDIPLOMARBEIT  \nzur Erlangung des akademischen Grades  \nDiplom-Ingenieur  \nim Rahmen des Studiums  \nSoftware Engineering & Internet Computing  \neingereicht von  \nDaniel Suchan, BSc  \nMat rikelnummer 1 1810787  \nan der Fakultät für Informatik der Technischen Universität Wien  \nBetreuung: Univ. Prof. Dr. Ivona Brandi´c  \nMitwir kung: Dr. Vincenzo De Maio  \nWien, 31. Juni 2024      \nDaniel Suchan Ivona Brandi´c  \nTechnische Universität Wien A-1040 Wien  Karlsplatz 13  Tel. +43-1-58801-0  [www.tuwien.at](www.tuwien.at)  \nHyperparameter Tuning for Quantum Machine Learning  \nDIPLOMA THESIS  \nsubmitted in partial fulfillment of the requirements for the degree of  \nDiplom-Ingenieur  \nin  \nSoftware Engineering & Internet Computing  \nby  \nDaniel Suchan, BSc  \nRegistration Number 11810787  \nto the Faculty of Informatics at the TU Wien  \nAdvisor: Univ. Prof. Dr. Ivona Brandi´c  \nAssistance: Dr. Vincenzo De Maio  \nVienna, June 31, 2024      \nDaniel Suchan Ivona Brandi´c  \nTechnische Universität Wien A-1040 Wien  Karlsplatz 13  Tel. +43-1-58801-0  [www.tuwien.at](www.tuwien.at)  \nErklärung zur Verfassung der Arbeit  \nDaniel Suchan, BSc  \nHiermit erkläre ich, dass ich diese Arbeit selbständig verfasst habe, dass ich die verwendeten Quellen und Hilfsmittel vollständig angegeben habe und dass ich die Stellen der Arbeit – einschließlich Tabellen, Karten und Abbildungen –, die anderen Werken oder dem Internet im Wortlaut oder dem Sinn nach entnommen sind, auf jeden Fall unter Angabe der Quelle als Entlehnung kenntlich gemacht habe.  \nWien, 31. Juni 2024    \nDaniel Suchan  \nv  \nDanksagung  \nAn erste Stelle möchte ich mich bei meinen Betreuern Prof. Ivona Brandić und Vincenzo De Maio für die großartige Möglichkeit bedanken, an diesem inspirierenden und spannenden Thema arbeiten zu können. Auch möchte ich mich für die zuverlässige und stets kompetente Zusammenarbeit über die gesamte Masterarbeit hinweg bedanken. Die hohe fachliche Kompetenz zusammen mit konstruktiven Ratschlägen haben mir maßgeblich bei meiner Arbeit geholfen.  \nZudem möchte ich meinen Studienkollegen und Freunden für die unzähligen Erinnerungen danken, die ich mit ihnen während des Studiums sammeln durfte. Ein großes Dankeschön auch an meine Familie und insbesondere an meine Eltern, die während meiner gesamten Studienzeit an mich geglaubt haben und mich stets motiviert haben, mein Bestes zugeben. Abschließend möchte ich mich noch besonders bei Katja für ihr Verständnis und die mentale Unterstützung während schwieriger Phasen meines Studiums bedanken.  \nIch bin unglaublich dankbar für diese großartige Unterstützung. Vielen Dank!  \nvii  \nAcknowledgements  \nFirst and foremost, I want to thank my supervisors Prof. Ivona Brandić and Vincenzo De Maio for the opportunity to work on this inspiring topic as well as their continuous support and guidance throughout the whole thesis. Their expertise and constructive feedback guided me well through my research and supported me during the writing process of this thesis.  \nI would also like to thank my fellow students and friends for the positive memories I could share with them during my studies. Furthermore, I would like to thank my family and especially my parents for their support and constant belief that encouraged me to always give my best. Finally, I want to give special thanks to Katja for her mental support and understanding during the challenging stages of my studies that gave me confidence in the final success.  \nI am grateful for all the support. Thank you!  \nix","cbCaibzwc0cg8d2Q","https://ap.wps.com/l/cbCaibzwc0cg8d2Q","pdf",3417984,1,102,"English","en",105,"# Acknowledgements","[{\"question\":\"What is the thesis topic?\",\"answer\":\"The thesis focuses on hyperparameter tuning for quantum machine learning, aiming to improve learning outcomes through better hyperparameter choices.\"},{\"question\":\"Where is the thesis submitted?\",\"answer\":\"It is submitted to the Faculty of Informatics at TU Wien as part of the Software Engineering \\u0026 Internet Computing program.\"},{\"question\":\"Who supported the thesis work?\",\"answer\":\"The thesis is supervised by Univ. Prof. Dr. Ivona Brandić, with assistance from Dr. Vincenzo De Maio, and it also includes acknowledgements to additional academic and personal supporters.\"}]","Hyperparameter Tuning for Quantum Machine Learning - Diplomarbeit | PDF",1785683502,257,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"hyperparameter-tuning-for-quantum-machine-learning-diploma-thesis","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/technology/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/hyperparameter-tuning-for-quantum-machine-learning-diploma-thesis/118413/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-02",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What is the thesis topic?","Question",{"text":75,"@type":76},"The thesis focuses on hyperparameter tuning for quantum machine learning, aiming to improve learning outcomes through better hyperparameter choices.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Where is the thesis submitted?",{"text":80,"@type":76},"It is submitted to the Faculty of Informatics at TU Wien as part of the Software Engineering & Internet Computing program.",{"name":82,"@type":73,"acceptedAnswer":83},"Who supported the thesis work?",{"text":84,"@type":76},"The thesis is supervised by Univ. 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