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Financial Modeling Using Quantum Computing - ebooks1001 - 01-08-2024
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Free Download Financial Modeling Using Quantum Computing: Design and manage quantum machine learning solutions for financial analysis and decision making by Anshul Saxena, Javier Mancilla, Iraitz Montalban
English | May 31, 2023 | ISBN: 180461842X | 292 pages | EPUB | 11 Mb
Elevate your problem-solving prowess by using cutting-edge quantum machine learning algorithms in the financial domain
Purchase of the print or Kindle book includes a free PDF eBook
Key FeaturesLearn to solve financial analysis problems by harnessing quantum powerUnlock the benefits of quantum machine learning and its potential to solve problemsTrain QML to solve portfolio optimization and risk analytics problemsBook Description
Quantum computing has the potential to revolutionize the computing paradigm. By integrating quantum algorithms with artificial intelligence and machine learning, we can harness the power of qubits to deliver comprehensive and optimized solutions for intricate financial problems.
This book offers step-by-step guidance on using various quantum algorithm frameworks within a Python environment, enabling you to tackle business challenges in finance. With the use of contrasting solutions from well-known Python libraries with quantum algorithms, you'll discover the advantages of the quantum approach. Focusing on clarity, the authors expertly present complex quantum algorithms in a straightforward, yet comprehensive way. Throughout the book, you'll become adept at working with simple programs illustrating quantum computing principles. Gradually, you'll progress to more sophisticated programs and algorithms that harness the full power of quantum computing.
By the end of this book, you'll be able to design, implement and run your own quantum computing programs to turbocharge your financial modelling.
What you will learnExamine quantum computing frameworks, models, and techniquesGet to grips with QC's impact on financial modelling and simulationsUtilize Qiskit and Pennylane for financial analysesEmploy renowned NISQ algorithms in model buildingDiscover best practices for QML algorithmSolve data mining issues with QML algorithmsWho this book is for
This book is for financial practitioners, quantitative analysts, or developers; looking to bring the power of quantum computing to their organizations. This is an essential resource written for finance professionals, who want to harness the power of quantum computers for solving real-world financial problems. A basic understanding of Python, calculus, linear algebra, and quantum computing is a prerequisite.
Table of ContentsQuantum Computing ParadigmQuantum Machine Learning AlgorithmsQuantum Finance LandscapeDerivatives ValuationPortfolio ValuationsCredit Risk AnalyticsImplementation in Quantum CloudsHPCs and Simulators RelevanceNISQ Quantum Hardware EvolutionQuantum Roadmap for Banks and Fintechs
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