9781804614877_

Achieve optimized solutions for real-world financial problems using quantum machine learning algorithms

Key Features

Learn how to solve financial analysis problems by harnessing Quantum power
Unlock Quantum benefits and its potential to solve problems
Train QML to solve portfolio optimization and risk analytics problems

Book Description

Quantum computing solutions can revolutionize the computing paradigm. Quantum algorithms, when implemented in conjunction with artificial intelligence and machine learning processes, harness the power of qubits to provide a comprehensive and optimized solution for complex financial problems

This book includes step-by-step guidance on how to use different quantum algorithm frameworks in a Python environment to resolve business problems in the finance domain. This book also compares solutions provided by popular Python libraries to resolve complex business problems against quantum algorithms. A simple approach is taken towards explaining the complex quantum algorithms in the book. Without dwelling much into the complex mathematical formulas, the authors have ensured that intricate quantum principles are presented in a simple yet comprehensive manner. Youll be able to start working with simple programs that illustrate quantum computing principles and will slowly work your way up to more complex programs and algorithms that leverage quantum computing

By the end of this book, you will be able to design, implement and run your own quantum computing programs to turbocharge your financial modelling

What you will learn

Explore framework, model and technique deployed for Quantum Computing
Understand the role of QC in financial modeling and simulations
Apply Qiskit and Pennylane framework for financial modeling
Build and train models using the most well-known NISQ algorithms
Explore best practices for writing QML algorithms
Use QML algorithms to understand and solve data mining problems
Dig into social media data using Quantum Natural Language Processing

Who This Book Is For

This book is suitable for financial practitioners, Quantitative Analysts, and developers; looking to bring the power of quantum computing to their organizations. This is an essential resource written for finance professionals, who want to harness the power of quantum computers for solving real-world financial problems. Before you get started with this book, youll need a basic understanding of Python, calculus, linear algebra, and the basics of quantum computing

Quantum Computing Paradigm
Quantum Machine Learning Algorithms
Quantum Finance Landscape
Derivatives Valuation
Portfolio Valuations
Credit Risk Analytics
Implementation in Quantum Clouds
HPCs and Simulators Relevance
NISQ Quantum Hardware Evolution
Quantum Roadmap for Banks and Fintechs

...(*_*)9781804614877_

Achieve optimized solutions for real-world financial problems using quantum machine learning algorithms

Key Features

Learn to solve financial analysis problems by harnessing quantum power
Unlock the benefits of quantum machine learning and its potential to solve problems
Train QML to solve portfolio optimization and risk analytics problems

Book Description

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, youll 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, youll become adept at working with simple programs illustrating quantum computing principles. Gradually, youll progress to more sophisticated programs and algorithms that harness the full power of quantum computing. By the end of this book, youll be able to design, implement and run your own quantum computing programs to turbocharge your financial modelling.

What you will learn

Explore framework, model and technique deployed for Quantum Computing
Understand the role of QC in financial modeling and simulations
Apply Qiskit and Pennylane framework for financial modeling
Build and train models using the most well-known NISQ algorithms
Explore best practices for writing QML algorithms
Use QML algorithms to understand and solve data mining problems

Who this book is for

This book is for financial practitioners, quantitative analysts, or developers; looking to bring the power of quantum computing to their organizations. This is an essential resource written for finance professionals, who want to harness the power of quantum computers for solving real-world financial problems. A basic understanding of Python, calculus, linear algebra, and quantum computing is a prerequisite.

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Key Features

Book Description

What you will learn

Who This Book Is For

Table of Contents

Key Features

Book Description

What you will learn

Who this book is for

Financial Modeling Using Quantum Computing

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