Book Image

Financial Modeling Using Quantum Computing

By : Anshul Saxena, Javier Mancilla, Iraitz Montalban, Christophe Pere
5 (1)
Book Image

Financial Modeling Using Quantum Computing

5 (1)
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)
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

Funding or budgeting issues

Many organizations already count on Data and Analytics departments using all the information companies have available to derive insights and drive business revenue. But not long ago, all those initiatives were accessory projects that were part of innovation funnels or just simple attempts led by key organizational actors. It was mostly a vision that needed to be proved as a business asset.

Support from C-level executives is key, but most of the time, these innovation projects must overcome a significant lack of resources and resistance to change within an already settled organization. Most importantly, these initiatives must track expenditure and return on investment (ROI). This is one crucial aspect that many initiatives cannot overcome, which is of the utmost importance given the cost of some of the available quantum hardware. Figure 10.3 shows an example of Quantinuum and IonQ's hardware cost in Azure for dedicated workloads.

Figure 10.3 – Costs for Quantinuum and IonQ services in Azure as of winter of 2022 ...