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

NISQ Quantum Hardware Roadmap

When using our implemented circuits for the different options we have explored, one key factor is the relevance of noise to obtain meaningful results. Along these lines, we would like to take you through the work you might need to consider while adapting to each specific hardware vendor, the specifics of those devices, and the bets some of them have taken for their scaling roadmap so that you can choose your companionship for this journey wisely.

Previously, we have seen how simulators can be used with classical devices, with those simulators being free of any kind of noise, as we explained in Chapter 8. We could also include the limitations and noise models of different types of quantum devices so that emulation can occur. So, even though classical resources will be used to perform our computations, the system will introduce errors and specific characteristics related to the qubit coupling of real devices so that the outcome will resemble the effect...