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

Further reading

It is worth highlighting that the techniques we discussed in this chapter require less technical detail to grasp their advantage fully. Interestingly, the work by Huang et al. 2022 cites the whole path from algorithm definition to lower-level action on devices, with some detailed information on how previously discussed error mitigation techniques can be used:

Figure 9.12 – Landscape of quantum error mitigation techniques

Figure 9.12 – Landscape of quantum error mitigation techniques

You can also benefit from the implementations available in the open source community so that you can apply them without requiring deep technical knowledge to code what can be found in the literature. It is pretty common nowadays that an implemented version of the published results is made available to the public.

Qiskit, one of the most mature frameworks for quantum computing, has extensive documentation and practical tutorials that will make understanding those concepts much easier.

Hardware-related tutorials...