Financial Modeling Using Quantum Computing
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Financial Modeling Using Quantum Computing
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Author : Anshul Saxena
language : en
Publisher:
Release Date : 2023-03
Financial Modeling Using Quantum Computing written by Anshul Saxena and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03 with categories.
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.
Financial Modeling Using Quantum Computing
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Author : Anshul Saxena
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-05-31
Financial Modeling Using Quantum Computing written by Anshul Saxena and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-31 with Business & Economics categories.
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.
Next Generation Data Science And Blockchain Technology For Industry 5 0
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Author : Amit Kumar Tyagi
language : en
Publisher: John Wiley & Sons
Release Date : 2025-07-29
Next Generation Data Science And Blockchain Technology For Industry 5 0 written by Amit Kumar Tyagi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-29 with Computers categories.
A groundbreaking view of the industrial models of the future Industry 5.0 is an increasingly widespread term for the coming business paradigm, which will combine humans, robotics, and smart technology to create the industrial processes of the future. Technological innovations like smart factories, networked processes, data science, blockchain, and more will be combined to revolutionize industry and drive innovation at an unprecedented pace. Next Generation Data Science and Blockchain Technology for Industry 5.0 offers an overview of these most important questions, their early answers, and the most promising paths forward. Incorporating practical case studies grounded in real-world data, the book emphasizes a hands-on approach combining numerous analytical tools. With a broad view of the historical role of industrial revolutions and a cutting-edge grasp of the key technologies, this book is an indispensable window into the future of business. Next Generation Data Science and Blockchain Technology for Industry 5.0 readers will also find: Incorporation of tools including statistical analysis, machine learning, graph analysis, and more Detailed treatment of cutting-edge technologies like additive manufacture (3D printing), edge computing, and many others Self-assessment tools to facilitate understanding Next Generation Data Science and Blockchain Technology for Industry 5.0 is ideal for academics, researchers, and advanced students in computer science and computer technology, as well as professionals and researchers working in data science or any other area of industrial technology.
Machine Learning And Modeling Techniques In Financial Data Science
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Author : Chen, Haojun
language : en
Publisher: IGI Global
Release Date : 2025-01-22
Machine Learning And Modeling Techniques In Financial Data Science written by Chen, Haojun and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Business & Economics categories.
The integration of machine learning and modeling in finance is transforming how data is analyzed, enabling more accurate predictions, risk assessments, and strategic planning. These advanced techniques empower financial professionals to uncover hidden patterns, automate complex processes, and enhance decision-making in volatile markets. As industries increasingly rely on data-driven insights, the adoption of these tools contributes to greater efficiency, reduced uncertainty, and competitive advantage. This technological shift not only drives innovation within financial sectors but also supports broader economic stability and growth by improving forecasting and mitigating risks. Machine Learning and Modeling Techniques in Financial Data Science provides an updated review and highlights recent theoretical advances and breakthroughs in professional practices within financial data science, exploring the strategic roles of machine learning and modeling techniques across various domains in finance. It offers a comprehensive collection that brings together a wealth of knowledge and experience. Covering topics such as algorithmic trading, financial technology (FinTech), and natural language processing (NLP), this book is an excellent resource for business professionals, leaders, policymakers, researchers, academicians, and more.
Quantum Computing And Artificial Intelligence
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Author : Pethuru Raj
language : en
Publisher: John Wiley & Sons
Release Date : 2025-04-08
Quantum Computing And Artificial Intelligence written by Pethuru Raj and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Computers categories.
Quantum Finance
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Author : Raymond S. T. Lee
language : en
Publisher: Springer Nature
Release Date : 2019-11-15
Quantum Finance written by Raymond S. T. Lee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-15 with Computers categories.
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.
Quantum Computing Cyber Security And Cryptography
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Author : S. B. Goyal
language : en
Publisher: Springer Nature
Release Date : 2025-08-20
Quantum Computing Cyber Security And Cryptography written by S. B. Goyal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-20 with Computers categories.
This book examines the fundamentals of quantum computing and its applications in codebreaking and hacking, as well as strategies and technologies for defending systems against quantum attacks. It brings together leading experts from across academia and industry to provide a comprehensive overview of the impacts of quantum computing on cybersecurity and cryptography. As quantum computers become more powerful and practical in the coming years, they pose a serious threat to current encryption and cybersecurity methods which rely on computational difficulty. The book provides readers with a holistic understanding of the quantum computing landscape and its implications on information security. The chapters cover the foundational concepts of quantum mechanics and key quantum algorithms relevant to cryptography and cybersecurity. Detailed discussions on quantum cryptanalysis, post-quantum cryptography, quantum key distribution, and quantum random number generation equip readers with technical knowledge of quantum-safe cryptosystems. Practical topics such as quantum programming, software tools, and implementation of quantum-resistant solutions in different sectors like finance, healthcare, and the Internet of Things provide actionable insights for organizations. The book concludes with an analysis of collaborative strategies, policies and future research directions to foster innovation in quantum-safe cybersecurity. Overall, this book serves as an essential reference for security professionals, researchers, students, and technology leaders interested in preparing systems and data for the quantum computing era.
Quantum Machine Learning
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Author : S Karthikeyan
language : en
Publisher: CRC Press
Release Date : 2024-10-28
Quantum Machine Learning written by S Karthikeyan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-28 with Computers categories.
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.
Quantum Algorithms In Action
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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2024-10-26
Quantum Algorithms In Action written by Robert Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-26 with Computers categories.
"Quantum Algorithms in Action: A Practical Guide to Implementation with Qiskit" is an authoritative resource designed to bridge the gap between theory and practical application in quantum computing. This comprehensive guide demystifies complex quantum concepts while introducing readers to the powerful tools provided by Qiskit, an open-source quantum computing framework. It meticulously covers foundational topics such as quantum mechanics principles and quantum circuit design, making it an indispensable asset for both newcomers and seasoned professionals eager to explore the computational wonders of the quantum world. The book delves into the design and execution of quantum algorithms, providing step-by-step instructions for implementing notable algorithms like Grover's and Shor's. It addresses key challenges such as quantum error correction and program optimization, ensuring readers gain a well-rounded understanding of maintaining accuracy and efficiency in quantum computations. Through detailed case studies and real-world applications, readers can appreciate how quantum computing is transforming diverse sectors, highlighting the potential and challenges that lie ahead. As quantum computing continues to evolve, this guide equips its readers with the knowledge and skills necessary to be at the forefront of technological advancements.
Geometry Of Belief
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Author : Saivya Singh
language : en
Publisher: Notion Press
Release Date : 2023-06-22
Geometry Of Belief written by Saivya Singh and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-22 with Technology & Engineering categories.
What does the future hold? Would our species survive and thrive the same way it did a 100 years ago? What are the ethical and philosophical dilemmas of technology? The geometry of belief gives insight on some of these questions, while providing information on the recent breakthroughs in the tech industry and how it impacts our collective belief and value system. The book is divided into multiple chapters about innovations in the past century. Each chapter also provides information about past developments in the technological field, current trends, and what one might expect in the near future. Each section also provides basic, adequate information about the topic for people who may be unfamiliar with it. All the sections of the book tie into the general idea about how the collective belief structure of humanity has changed throughout the course of history, and how it would further change when new technological disruptions, or major events in human history occur.