[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-119101-en":3,"doc-seo-119101-105":30,"detail-sidebar-cat-0-en-105":90},{"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},119101,2336464648322,"Aria","https://ap-avatar.wpscdn.com/avatar/2200025388227c56fec?_k=1778556882303663488",8,"Research & Report","Quantum machine learning - On the design, trainability and noise-robustness of near-term algorithms","This document presents a comprehensive exploration of quantum machine learning, focusing on the design principles, trainability characteristics, and noise-robustness of algorithms intended for near-term quantum devices. It delves into the theoretical underpinnings and practical considerations for developing and evaluating these advanced computational methods. The research aims to bridge the gap between theoretical quantum computing concepts and their applicability in machine learning tasks, addressing the challenges posed by current hardware limitations and environmental noise. The work critically examines the methodologies for training quantum machine learning models, emphasizing strategies to enhance their performance and reliability in noisy intermediate-scale quantum (NISQ) architectures. Discussions include the development of novel algorithms and the optimization of existing ones to leverage the potential of quantum computation for complex data analysis and artificial intelligence applications. The overall objective is to advance the understanding and practical implementation of quantum machine learning, paving the way for future breakthroughs in the field.","Quantum machine learning: on the design, trainability and noise-robustness of near-term algorithms  \nSkolik, A.  \nCitation  \nSkolik, A. (2023, December 7) . Quantum machine learning: on the design, trainability and noise-robustness of near-term  \nalgorithms. Retrieved from [https://hdl.handle.net/1887/3666138](https://hdl.handle.net/1887/3666138)  \nVersion: Publisher's Version  \nLicence agreement concerning inclusion of doctoral thesis in the Institutional Repository of the University of  \nLicense:  \nLeiden  \nDownloaded  \n[https://hdl.handle.net/1887/3666138](https://hdl.handle.net/1887/3666138)  \nfrom:  \nNote: To cite this publication please use the final published version (if applicable) .  \nQuantum machine learning: On the design, trainab i lity and no ise-robustness of near-term a lgorithms Andrea Skolik  \nQuantum machine learning: On the design, trainability and noise-robustness of near-term algorithms  \nAndrea Skolik","cbCaiqdKy2LxBCI9","https://ap.wps.com/l/cbCaiqdKy2LxBCI9","pdf",1867778,1,2,"English","en",105,"# Quantum machine learning\n## On the design, trainability and noise-robustness of near-term algorithms","[{\"question\":\"What is the main focus of this document?\",\"answer\":\"The document focuses on quantum machine learning, specifically the design, trainability, and noise-robustness of algorithms for near-term quantum computers.\"},{\"question\":\"What are the key challenges addressed in the document?\",\"answer\":\"The document addresses the challenges related to the design and training of quantum machine learning models, particularly concerning their robustness against noise in near-term quantum devices.\"},{\"question\":\"Who is the author of this publication?\",\"answer\":\"The author of this publication is Andrea Skolik.\"}]","Quantum machine learning - On the design, trainability and noise-robustness of near-term algorithms | PDF",1785722398,5,{"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":85,"head_meta":87,"extra_data":89,"updated_unix":28},"quantum-machine-learning-on-the-design-trainability-and-noise-robustness-of-near-term-algorithms","",{"@graph":36,"@context":84},[37,53,67],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,47,50],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":21},"https://docshare.wps.com/document/","Document",{"item":48,"name":12,"@type":43,"position":49},"https://docshare.wps.com/document/research-report/",3,{"item":51,"name":13,"@type":43,"position":52},"https://docshare.wps.com/document/quantum-machine-learning-on-the-design-trainability-and-noise-robustness-of-near-term-algorithms/119101/",4,{"url":51,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":23,"description":14,"dateModified":61,"datePublished":61,"encodingFormat":60,"isAccessibleForFree":62,"interactionStatistic":63},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":41,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":64,"interactionType":65,"userInteractionCount":4},"InteractionCounter",{"@type":66},"ViewAction",{"@type":68,"mainEntity":69},"FAQPage",[70,76,80],{"name":71,"@type":72,"acceptedAnswer":73},"What is the main focus of this document?","Question",{"text":74,"@type":75},"The document focuses on quantum machine learning, specifically the design, trainability, and noise-robustness of algorithms for near-term quantum computers.","Answer",{"name":77,"@type":72,"acceptedAnswer":78},"What are the key challenges addressed in the document?",{"text":79,"@type":75},"The document addresses the challenges related to the design and training of quantum machine learning models, particularly concerning their robustness against noise in near-term quantum devices.",{"name":81,"@type":72,"acceptedAnswer":82},"Who is the author of this publication?",{"text":83,"@type":75},"The author of this publication is Andrea Skolik.","https://schema.org",{"og:url":51,"og:type":86,"og:title":13,"og:site_name":58,"og:description":14},"article",{"robots":88,"canonical":51},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":91},[92,96,100,104,108,113,118,121,126,129,133],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":93,"show_sort_weight":94,"slug":95},"Story & Novel",90,"story-novel",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":97,"show_sort_weight":98,"slug":99},"Literature",80,"literature",{"id":52,"doc_module":4,"doc_module_name":46,"category_name":101,"show_sort_weight":102,"slug":103},"Exam",70,"exam",{"id":29,"doc_module":4,"doc_module_name":46,"category_name":105,"show_sort_weight":106,"slug":107},"Comic",60,"comic",{"id":109,"doc_module":4,"doc_module_name":46,"category_name":110,"show_sort_weight":111,"slug":112},6,"Technology",50,"technology",{"id":114,"doc_module":4,"doc_module_name":46,"category_name":115,"show_sort_weight":116,"slug":117},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":119,"slug":120},30,"research-report",{"id":122,"doc_module":4,"doc_module_name":46,"category_name":123,"show_sort_weight":124,"slug":125},9,"Religion & Spirituality",20,"religion-spirituality",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":127,"show_sort_weight":124,"slug":128},"World Cup","world-cup",{"id":130,"doc_module":4,"doc_module_name":46,"category_name":131,"show_sort_weight":130,"slug":132},10,"Lifestyle","lifestyle",{"id":134,"doc_module":4,"doc_module_name":46,"category_name":135,"show_sort_weight":29,"slug":136},19,"General","general"]