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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

advantage, with QML

case study 248

identifying 245-248

Amazon Braket 45, 46

Amazon Web Services (AWS) 39, 45, 181

annealers 233

approaches, to quantum innovation

cold atoms 13

photonics 13

quantum dots 13

superconducting 12

trapped ions 13

Archer 17

Area Under Curve (AUC) 161

artificial intelligence (AI) 60

asset liquidity risk impact 58

AWS Amazon Braket platform 18

AWS Braket 181-189

Azure 189-193

B

Birla Institute of Management Technology (BIMTECH) 257

Black-Scholes-Merton (BSM) model 77

assumptions 78

benefits 80

limitations 78, 79

Bounded-Error Quantum Polynomial-Time (BQP) 26

C

case study, derivatives pricing

market interest rate, determining 72

market price, comparing with face value 73

market...