Financial Modeling Using Quantum Computing: Design and manage quantum machine learning solutions for financial analysis and decision making
by Anshul Saxena(Author), Javier Mancilla(Author), Iraitz Montalban(Author), Christophe Pere(Author)
Publisher finelybook 出版社: Packt Publishing (May 31, 2023)
Language 语言: English
Print Length 页数: 292 pages
ISBN-10: 180461842X
ISBN-13: 9781804618424
Book Description
By finelybook
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 Features
Learn to solve financial analysis problems by harnessing quantum power
Unlock the benefits of quantum machine learning and its potential to solve problems
Train QML to solve portfolio optimization and risk analytics problems
Book Description
By finelybook
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 learn
Examine quantum computing frameworks, models, and techniques
Get to grips with QC’s impact on financial modelling and simulations
Utilize Qiskit and Pennylane for financial analyses
Employ renowned NISQ algorithms in model building
Discover best practices for QML algorithm
Solve data mining issues with QML algorithms
Who this book is for
Table of Contents
1.Quantum Computing Paradigm
2.Quantum Machine Learning Algorithms
3.Quantum Finance Landscape
4.Derivatives Valuation
5.Portfolio Valuations
6.Credit Risk Analytics
7.Implementation in Quantum CLouds
8.HPCs and Simulators Relevance
9.NISQ Quantum Hardware Evolution
10.Quantum Roadmap for Banks and Fintechs
