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Financial Modeling Using Quantum Computing

Financial Modeling Using Quantum Computing

By : Anshul Saxena, Javier Mancilla, Iraitz Montalban, Christophe Pere
5 (8)
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Financial Modeling Using Quantum Computing

Financial Modeling Using Quantum Computing

5 (8)
By: Anshul Saxena, Javier Mancilla, Iraitz Montalban, Christophe Pere

Overview of this book

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.
Table of Contents (16 chapters)
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1
Part 1: Basic Applications of Quantum Computing in Finance
5
Part 2: Advanced Applications of Quantum Computing in Finance
10
Part 3: Upcoming Quantum Scenario

Further reading

Some of the topics that were briefly explained in this chapter have extensive literature behind them. Financial services have been around for a while and many resources can be found for those new to the field and willing to learn more details about the topics that we covered in this specialized material on financial quantum computing.

Problems and techniques around derivative pricing, portfolio optimization, and fraud detection will have some specific literature referenced in their corresponding chapters. Additionally, the next chapter will provide in-depth coverage of the techniques employed in computational finance.

For those wanting to better understand the complex ecosystem of the banking sector and how it operates, some interesting references on financial markets are the publications by Pagano (1993) and Bond et al. (2012).

Those interested in ethical and fairness terms relating to the financial market may find the paper by Sherfin & Statman (1993...

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