{"title":"The Design and Implementation of Quantum Finance Software Development Kit (QFSDK) for AI Education","authors":"Luochao Wang, Raymond S. T. Lee","doi":"10.1109/ITHET56107.2022.10031712","DOIUrl":null,"url":null,"abstract":"For the past several decades, with the rapid development of internet technologies and online transaction platforms, financial institutions and investors are facing huge challenges from the global economic environment that financial markets are becoming more unpredictable and volatile than before, especially in the stock markets, commodity markets and cryptocurrency markets. Interest and awareness of Artificial Intelligence and Quantum Finance are growing so fast that both academia and higher education are struggling to keep up with the accelerating demand of financial markets. Quantum finance is a newly developed interdisciplinary program with the integration of quantum theory, computational finance, and even computer science, which requires students to have comprehensive knowledge reserves. Meanwhile, it is extremely complicated for students to use a programming language to realize quantum finance calculations from scratch. To facilitate curricula teaching, and hands-on usage of quantum finance and AI, a Quantum Finance Software Development Kit (QFSDK) is proposed based on the author’s previous research on Quantum Finance Theory and other AI research findings. The QFSDK was prepared in python programming language as the first step in introducing students to the concepts and applications of quantum finance. The QFSDK bridges the theoretical and practical chasm for learners by developing a quantum finance calculator library. It serves as an open-source template that encourages heavy contextual modification, and it supports any online platforms in the python programming language.","PeriodicalId":125795,"journal":{"name":"2022 20th International Conference on Information Technology Based Higher Education and Training (ITHET)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 20th International Conference on Information Technology Based Higher Education and Training (ITHET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITHET56107.2022.10031712","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
For the past several decades, with the rapid development of internet technologies and online transaction platforms, financial institutions and investors are facing huge challenges from the global economic environment that financial markets are becoming more unpredictable and volatile than before, especially in the stock markets, commodity markets and cryptocurrency markets. Interest and awareness of Artificial Intelligence and Quantum Finance are growing so fast that both academia and higher education are struggling to keep up with the accelerating demand of financial markets. Quantum finance is a newly developed interdisciplinary program with the integration of quantum theory, computational finance, and even computer science, which requires students to have comprehensive knowledge reserves. Meanwhile, it is extremely complicated for students to use a programming language to realize quantum finance calculations from scratch. To facilitate curricula teaching, and hands-on usage of quantum finance and AI, a Quantum Finance Software Development Kit (QFSDK) is proposed based on the author’s previous research on Quantum Finance Theory and other AI research findings. The QFSDK was prepared in python programming language as the first step in introducing students to the concepts and applications of quantum finance. The QFSDK bridges the theoretical and practical chasm for learners by developing a quantum finance calculator library. It serves as an open-source template that encourages heavy contextual modification, and it supports any online platforms in the python programming language.