[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-117328-en":3,"doc-seo-117328-105":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},117328,1099514068035,"Ezra","https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c",8,"Research & Report","Applications of Quantum Machine Learning for Quantitative Finance - Survey and Overview","Quantum machine learning (QML) combines machine learning with quantum-mechanical principles to process and analyze financial data more efficiently. This survey reviews how the convergence of quantum computing and ML is applied to quantitative finance, mapping use cases such as fraud detection, underwriting, Value-at-Risk, stock market prediction, portfolio optimization, and option pricing. It organizes the literature across financial subdomains and also outlines core quantum-computing concepts and algorithms that support QML approaches, highlighting current capabilities and future directions.","arXiv :2405 . 10119v1 [ quant-ph] 16 May 2024  \nApplications of Quantum Machine Learning for Quantitative Finance  \nPIOTR MIRONOWICZ, Department of Algorithms and Systems Modelling, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Poland, Department of Physics, Stockholm University, Sweden, and International Centre for Theory of Quantum Technologies, University of Gdańsk, Poland  \nAKSHATA SHENOY H., International Centre for Theory of Quantum Technologies, University of Gdańsk, Poland  \nANTONIO MANDARINO, International Centre for Theory of Quantum Technologies, University of Gdańsk, Poland and Department of Physics Aldo Pontremoli, University of Milan, Italy  \nA. EGE YILMAZ, Hochschule Luzern, Institut für Finanzdienstleistungen Zug IFZ, Switzerland  \nTHOMAS ANKENBRAND, Hochschule Luzern, Institut für Finanzdienstleistungen Zug IFZ, Switzerland  \nMachine learning and quantum machine learning (QML) have gained significant importance, as they offer powerful tools for tackling complex computational problems across various domains. This work gives an extensive overview of QML’s uses in quantitative finance, an important discipline in the financial industry. We examine the connection between quantum computing and machine learning in financial applications, spanning a range of use cases including fraud detection, underwriting, Value-at-Risk, stock market prediction, portfolio optimization, and option pricing by overviewing the corpus of literature concerning various financial subdomains.  \nCCS Concepts: • General and reference → Surveys and overviews; • Hardware → Quantum computation; • Applied computing → Physics; Economics; • Computing methodologies → Machine learning.  \nAdditional Key Words and Phrases: Quantum Machine Learning, Machine Learning, Finance, Quantum Computation  \n1 INTRODUCTION  \nIn recent years, the convergence of quantum computing (QC) and machine learning (ML) has sparked significant interest across various domains, with finance being no exception. Quantum machine learning (QML) is a branch of ML that harnesses the principles of quantum mechanics to process and analyze data more efficiently. By leveraging the unique properties of quantum systems, such as superposition and entanglement, QML techniques have the potential to improve traditional methodologies in finance. These techniques promise to enhance predictive capabilities in areas such as portfolio optimization, market prediction, trading, pricing, and risk management. As quantum computers continue to evolve and become more accessible, the integration of QML into finance applications is expected.  \nThis review paper delves into this burgeoning field of QML in finance, offering insights into its diverse technologies, applications, and potential implications. The paper is structured into  \nAuthors’ Contact Information: Piotr Mironowicz, [piotr.mironowicz@gmail.com](piotr.mironowicz@gmail.com), Department of Algorithms and Systems Modelling, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Narutowicza 11/12, Gdańsk, 80-233, Poland and Department of Physics, Stockholm University, Roslagstullsbacken 21, Stockholm, 114 21, Sweden and International Centre for Theory of Quantum Technologies, University of Gdańsk, Jana Bażyńskiego 1A, Gdańsk, 80-309, Poland; Akshata Shenoy H., International Centre for Theory of Quantum Technologies, University of Gdańsk, Jana Bażyńskiego 1A, Gdańsk, 80-309, Poland; Antonio Mandarino, [antonio.mandarino.work@gmail.com](antonio.mandarino.work@gmail.com), International Centre for Theory of Quantum Technologies, University of Gdańsk, Jana Bażyńskiego 1A, Gdańsk, 80-309, Poland and Department of Physics Aldo Pontremoli, University of Milan, Via Celoria 16, 20133 Milan, Italy; A. Ege Yilmaz, Hochschule Luzern, Institut für Finanzdienstleistungen Zug IFZ, Suurstoffi 1, 6343 Rotkreuz, Switzerland; Thomas Ankenbrand, Hochschule Luzern, Institut für Finanzdie","cbCaieXqNljpIGqg","https://ap.wps.com/l/cbCaieXqNljpIGqg","pdf",986411,1,39,"English","en",105,"# 1 INTRODUCTION\n# 2 QUANTITATIVE FINANCE USE CASES\n## 2.1 Portfolio Optimization\n## 2.2 Market Prediction and Trading\n## 2.3 Pricing\n## 2.4 Risk Management\n# Literature Review and Future Directions","[{\"question\":\"What does quantum machine learning (QML) add to quantitative finance?\",\"answer\":\"QML uses principles like superposition and entanglement to analyze and process data potentially more efficiently, aiming to improve predictive tasks in finance.\"},{\"question\":\"Which quantitative finance applications are covered in the review?\",\"answer\":\"The review discusses fraud detection, underwriting, Value-at-Risk, stock market prediction, portfolio optimization, and option pricing, organized across related financial subdomains.\"},{\"question\":\"What role do quantum computing concepts play in QML for finance?\",\"answer\":\"The paper includes foundational coverage of quantum concepts such as qubits, quantum circuits, and quantum algorithms, connecting them to the ML methods used in financial applications.\"}]","Applications of Quantum Machine Learning for Quantitative Finance - Survey and Overview | PDF",1785675214,98,{"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},"applications-of-quantum-machine-learning-for-quantitative-finance-survey-and-overview","",{"@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/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/applications-of-quantum-machine-learning-for-quantitative-finance-survey-and-overview/117328/",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 does quantum machine learning (QML) add to quantitative finance?","Question",{"text":75,"@type":76},"QML uses principles like superposition and entanglement to analyze and process data potentially more efficiently, aiming to improve predictive tasks in finance.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Which quantitative finance applications are covered in the review?",{"text":80,"@type":76},"The review discusses fraud detection, underwriting, Value-at-Risk, stock market prediction, portfolio optimization, and option pricing, organized across related financial subdomains.",{"name":82,"@type":73,"acceptedAnswer":83},"What role do quantum computing concepts play in QML for finance?",{"text":84,"@type":76},"The paper includes foundational coverage of quantum concepts such as qubits, quantum circuits, and quantum algorithms, connecting them to the ML methods used in financial applications.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]