Financial Modeling Using Quantum Computing
Financial Modeling Using Quantum Computing

Author: Anshul Saxena

Publisher: Packt Publishing Ltd

Published: 2023-05-31

Total Pages: 292

ISBN-13: 1804614874

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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 DescriptionQuantum 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.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.

Financial Modeling Using Quantum Computing
Financial Modeling Using Quantum Computing

Author: Anshul Saxena

Publisher:

Published: 2023-03

Total Pages: 0

ISBN-13: 9781804618424

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Elevate your problem-solving prowess by using cutting-edge quantum machine learning algorithms in the financial domain Purchase of the print or Kindle book includes a free PDF eBook 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, 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. What You Will Learn: Examine quantum computing frameworks, models, and techniques Get to grips with QC's impact on financial modelling and simulations Utilize Qiskit and Pennylane for financial analyses Employ renowned NISQ algorithms in model building Discover best practices for QML algorithm Solve data mining issues with QML algorithms 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.

Quantum Computing in Action
Quantum Computing in Action

Author: Johan Vos

Publisher: Simon and Schuster

Published: 2022-02-08

Total Pages: 262

ISBN-13: 1617296325

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Quantum computing is on the horizon, ready to impact everything from scientific research to encryption and security. But you don't need a physics degree to get started in quantum computing. Quantum Computing for Developers shows you how to leverage your existing Java skills into writing your first quantum software so you're ready for the revolution. Rather than a hardware manual or academic theory guide, this book is focused on practical implementations of quantum computing algorithms. Using Strange, a Java-based quantum computer simulator, you'll go hands-on with quantum computing's core components including qubits and quantum gates as you write your very first quantum code. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Quantum Finance
Quantum Finance

Author: Raymond S. T. Lee

Publisher: Springer Nature

Published: 2019-11-15

Total Pages: 433

ISBN-13: 9813297964

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With the exponential growth of program trading in the global financial industry, quantum finance and its underlying technologies have become one of the hottest topics in the fintech community. Numerous financial institutions and fund houses around the world require computer professionals with a basic understanding of quantum finance to develop intelligent financial systems. This book presents a selection of the author’s past 15 years’ R&D work and practical implementation of the Quantum Finance Forecast System – which integrates quantum field theory and related AI technologies to design and develop intelligent global financial forecast and quantum trading systems. The book consists of two parts: Part I discusses the basic concepts and theories of quantum finance and related AI technologies, including quantum field theory, quantum price fields, quantum price level modelling and quantum entanglement to predict major financial events. Part II then examines the current, ongoing R&D projects on the application of quantum finance technologies in intelligent real-time financial prediction and quantum trading systems. This book is both a textbook for undergraduate & masters level quantum finance, AI and fintech courses and a valuable resource for researchers and data scientists working in the field of quantum finance and intelligent financial systems. It is also of interest to professional traders/ quants & independent investors who would like to grasp the basic concepts and theory of quantum finance, and more importantly how to adopt this fascinating technology to implement intelligent financial forecast and quantum trading systems. For system implementation, the interactive quantum finance programming labs listed on the Quantum Finance Forecast Centre official site (QFFC.org) enable readers to learn how to use quantum finance technologies presented in the book.

John Babikian - Quantum Computing
John Babikian - Quantum Computing

Author: John Babikian

Publisher: John Babikian

Published: 2016-02-25

Total Pages: 113

ISBN-13:

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Within the realm of blockchain technology, John Babikian, a notable lawyer and computer engineer, has carved out a distinct identity for himself. With several years of involvement in the industry, he has not only garnered attention but has also made substantial investments in various blockchain projects. Delving into the essence of blockchain technology and John's profound interest in it, this article aims to unravel the dynamics of this rapidly expanding industry and the notable contributions made by John Babikian. John Babikian is also a renowned author, researcher, and speaker specializing in cutting-edge technology and its transformative impact on various aspects of life. With a passion for understanding and harnessing the power of innovation, John Babikian academic background in computer science and engineering along with law has provided him with a strong foundation for his work in quantum computing. Over the years, he has conducted research, developed applications, and collaborated with leading experts in the world.

Quantum Computing: Basic Concepts
Quantum Computing: Basic Concepts

Author: N.B. Singh

Publisher: N.B. Singh

Published:

Total Pages: 291

ISBN-13:

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"Quantum Computing: Basic Concepts" is a beginner-friendly guide that introduces readers to the fascinating world of quantum computing. Written for absolute beginners, this book provides clear explanations of key concepts in quantum computing, such as qubits, superposition, and quantum gates, without assuming any prior knowledge of quantum mechanics or advanced mathematics. Through easy-to-understand language and practical examples, readers will gain a foundational understanding of quantum computing principles and explore the potential applications of this cutting-edge technology. Whether you're a curious novice or a seasoned enthusiast, this book offers an accessible entry point into the captivating realm of quantum computing.

Quantum Computing
Quantum Computing

Author: N.B. Singh

Publisher: N.B. Singh

Published:

Total Pages: 686

ISBN-13:

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"Quantum Computing" is a comprehensive and accessible exploration of one of the most exciting and rapidly evolving fields in modern science. Written with both beginners and advanced enthusiasts in mind, this book offers a captivating journey through the world of quantum computing without the need for complex mathematical formulas. With 50 engaging chapters covering a wide range of topics, readers will discover the fascinating principles behind quantum mechanics and how they are harnessed to revolutionize computing, cryptography, telecommunications, and even our understanding of consciousness and the universe itself. From the basics of qubits and superposition to advanced applications like quantum cryptography and artificial intelligence, this book presents complex concepts in a clear and easy-to-understand manner, making it suitable for readers of all backgrounds. Whether you're a curious novice or a seasoned quantum enthusiast, "Quantum Computing" offers a captivating glimpse into the extraordinary possibilities of the quantum world.

Quantum Machine Learning
Quantum Machine Learning

Author: S Karthikeyan

Publisher: CRC Press

Published: 2024-10-28

Total Pages: 300

ISBN-13: 1040116108

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This book presents the research into and application of machine learning in quantum computation, known as quantum machine learning (QML). It presents a comparison of quantum machine learning, classical machine learning, and traditional programming, along with the usage of quantum computing, toward improving traditional machine learning algorithms through case studies. In summary, the book: Covers the core and fundamental aspects of statistics, quantum learning, and quantum machines. Discusses the basics of machine learning, regression, supervised and unsupervised machine learning algorithms, and artificial neural networks. Elaborates upon quantum machine learning models, quantum machine learning approaches and quantum classification, and boosting. Introduces quantum evaluation models, deep quantum learning, ensembles, and QBoost. Presents case studies to demonstrate the efficiency of quantum mechanics in industrial aspects. This reference text is primarily written for scholars and researchers working in the fields of computer science and engineering, information technology, electrical engineering, and electronics and communication engineering.

Integration of AI, Quantum Computing, and Semiconductor Technology
Integration of AI, Quantum Computing, and Semiconductor Technology

Author: Mishra, Brojo Kishore

Publisher: IGI Global

Published: 2024-10-29

Total Pages: 534

ISBN-13:

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The integration of artificial intelligence (AI), quantum computing, and semiconductor technology offers improved innovation to redefine computational power and capabilities. As AI drives advances in machine learning and data processing, quantum computing revolutionizes problem-solving with its ability to handle complex calculations at improved speeds. Advancements in semiconductor technology push the limits of processing efficiency and miniaturization. Continued exploration on this convergence may accelerate breakthroughs in various fields such as cryptography, material science, and healthcare. Integration of AI, Quantum Computing, and Semiconductor Technology explores the intersection of artificial intelligence (AI) and semiconductor technology within the context of quantum computing. It offers a comprehensive analysis of the current advancements, challenges, and potential applications resulting from this convergence. This book covers topics such as cyber security, healthcare monitoring, and machine learning, and is a useful resource for computer engineers, energy scientists, business owners, healthcare administrators, environmental scientists, academicians, and researchers.