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Author: Anshul Saxena
Publisher:
ISBN: 9781804618424
Category :
Languages : en
Pages : 0
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Book Description
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.
Author: Anshul Saxena
Publisher:
ISBN: 9781804618424
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
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.
Author: Anshul Saxena
Publisher: Packt Publishing Ltd
ISBN: 1804614874
Category : Business & Economics
Languages : en
Pages : 292
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Book Description
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.
Author: Johan Vos
Publisher: Simon and Schuster
ISBN: 1617296325
Category : Computers
Languages : en
Pages : 262
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Book Description
Quantum computing is on the horizon and you can get started today! This practical, clear-spoken guide shows you don’t need a physics degree to write your first quantum software. In Quantum Computing in Action you will learn: An introduction to the core concepts of quantum computing Qubits and quantum gates Superposition, entanglement, and hybrid computing Quantum algorithms including Shor’s, Deutsch-jozsa, and Grover’s search Quantum Computing in Action shows you how to leverage your existing Java skills into writing your first quantum software, so you’re ready for the quantum revolution. This book is focused on practical implementations of quantum computing algorithms—there’s no deep math or confusing theory. Using Strange, a Java-based quantum computer simulator, you’ll go hands-on with quantum computing’s core components including qubits and quantum gates. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Quantum computing promises unimaginably fast performance for tasks like encryption, scientific modeling, manufacturing logistics, financial modeling, and AI. Developers can explore quantum computing now using free simulators, and increasingly powerful true quantum systems are gradually becoming available for production use. This book gives you a head start on quantum computing by introducing core concepts, key algorithms, and the most beneficial use cases. About the book Quantum Computing in Action is a gentle introduction to the ideas and applications of quantum computing. After briefly reviewing the science that makes quantum tick, it guides you through practical implementations of quantum computing algorithms. You’ll write your first quantum code and explore qubits and quantum gates with the Java-based Strange quantum simulator. You’ll enjoy the interesting examples and insightful explanations as you create quantum algorithms using standard Java and your favorite IDE and build tools. What's inside An introduction to the core concepts of quantum computing Qubits and quantum gates Superposition, entanglement, and hybrid computing Quantum algorithms including Shor’s, Deutsch-jozsa, and Grover’s search About the reader For Java developers. No advanced math knowledge required. About the author Johan Vos is a cofounder of Gluon, a Java technology company. He is a Java Champion and holds an MSc in Mining Engineering and a PhD in Applied Physics. Table of Contents PART 1 QUANTUM COMPUTING INTRODUCTION 1 Evolution, revolution, or hype? 2 “Hello World,” quantum computing style 3 Qubits and quantum gates: The basic units in quantum computing PART 2 FUNDAMENTAL CONCEPTS AND HOW THEY RELATE TO CODE 4 Superposition 5 Entanglement 6 Quantum networking: The basics PART 3 QUANTUM ALGORITHMS AND CODE 7 Our HelloWorld, explained 8 Secure communication using quantum computing 9 Deutsch-Jozsa algorithm 10 Grover’s search algorithm 11 Shor’s algorithm
Author: S Karthikeyan
Publisher: CRC Press
ISBN: 1040116108
Category : Computers
Languages : en
Pages : 300
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Book Description
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.
Author: Flavia Monti
Publisher: Springer Nature
ISBN: 981970989X
Category :
Languages : en
Pages : 364
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Book Description
Author: Gajbhiye, Pranjali
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 524
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Book Description
The integration of quantum artificial intelligence (AI) into neuromarketing is revolutionizing how consumer behavior is understood and analyzed. By enhancing predictive analytics and uncovering subconscious responses, it enables more personalized and effective marketing strategies. This innovative approach fosters interdisciplinary collaboration, pushing the boundaries of traditional tools. As quantum AI transforms neuromarketing, it also raises important ethical considerations and challenges for future applications, shaping the future of consumer engagement. The Quantum AI Era of Neuromarketing integrates quantum AI with traditional neuromarketing, enhancing predictive analytics and understanding subconscious consumer behavior. It addresses ethical considerations, ensuring responsible use of advanced technologies, and explores future trends and challenges. Covering topics such as consumer behavior, machine learning, and virtual reality (VR), this book is an excellent resource for academicians, researchers, students, marketing professionals, executives, policymakers, and more.
Author: Saivya Singh
Publisher: Notion Press
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 80
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Book Description
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.
Author: International Monetary Fund
Publisher: International Monetary Fund
ISBN: 1513572725
Category : Business & Economics
Languages : en
Pages : 33
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Book Description
The era of quantum computing is about to begin, with profound implications for the global economy and the financial system. Rapid development of quantum computing brings both benefits and risks. Quantum computers can revolutionize industries and fields that require significant computing power, including modeling financial markets, designing new effective medicines and vaccines, and empowering artificial intelligence, as well as creating a new and secure way of communication (quantum Internet). But they would also crack many of the current encryption algorithms and threaten financial stability by compromising the security of mobile banking, e-commerce, fintech, digital currencies, and Internet information exchange. While the work on quantum-safe encryption is still in progress, financial institutions should take steps now to prepare for the cryptographic transition, by assessing future and retroactive risks from quantum computers, taking an inventory of their cryptographic algorithms (especially public keys), and building cryptographic agility to improve the overall cybersecurity resilience.
Author: Braman, James
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 263
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Book Description
The traditional educational landscape often struggles to keep pace with the rapid advancements in technology and the evolving needs of both students and educators. This challenge has given rise to a crucial question; how can we effectively harness the full potential of next-generation educational technologies to shape a brighter future for education? A solution to this very question can be found within the pages ofReshaping Learning with Next Generation Educational Technologies. This book delves deep into the convergence of artificial intelligence (AI), disruptive technologies, and cutting-edge educational practices, revealing their transformative power. Through practical examples, visionary insights, and thought-provoking analyses, it provides a roadmap for educators, researchers, and professionals to navigate this changing educational landscape. It's a call to action, urging academia to seize the transformative potential of these groundbreaking technologies.
Author: Robert Johnson
Publisher: HiTeX Press
ISBN:
Category : Computers
Languages : en
Pages : 229
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Book Description
"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.
