This book is aimed at people who simply know the basics of computer programming. It does not require any notion of physics and allows its readers to understand with total accuracy and in the simplest way the use that could be made of a quantum computer, by explaining step by step how to write a software to emulate its operation. The usual expression that a qubit “is an object that can be simultaneously in both binary states 0 and 1” will lose all the aura of mystery that surrounds it, and readers will understand exactly its meaning and implications for computing without the need for any knowledge of physics. The book describes quantum computing by considering it strictly from a computer science point of view, simply as a machine that is capable of transforming a given input into a given output using any suitable physical principle to work, and thus allows to become completely familiar with quantum gates and with the most famous quantum algorithms. The only condition is that the readers are familiar with some programming language and with the basic concepts of classical computer science: those who have this knowledge will easily follow the description of quantum algorithms and understand the software emulation that is implemented in the book, and will also have fun running and testing it with their own PC. The knowledge acquired through this book is of vital importance to investors because it allows them to judge independently on the risk of investing in this technology. It has been written for programmers because the knowledge of basics of computer science is useful to understand exactly what a quantum computer, once built, could be used for. But this understanding is also essential for investors who must evaluate whether and how much it is appropriate to risk investing in the development of quantum computing. Therefore, even investors (private investors, consultants, managers of financing funds for technological enterprises, etc.) who want to decide on the allocation of resources in quantum computing with full knowledge of the stakes, must know this book, and if they do not personally own the necessary prerequisites, they can use it by hiring some trusted computer expert to read it, understand it and report on the result.

Uncover the mysteries of the next world-changing paradigm with the ultimate guide to quantum computing by Shervin Tarjoman. Throughout "The Hidden Power: Quantum Computing", we move from the ground-level basics of quantum mechanics all the way to current-generation developments in the quantum-computing space, and demystify those concepts, so that anyone can understand them. Inside the Book Background and History: Introduction to quantum computing and landmarks in the field, such as key breakthroughs and the scientists who played a crucial role in developing the field. Fundamentals of Quantum Mechanics: Understand wave-particle duality, superposition, quantum entanglement, and quantum states, and how they are different from classical mechanics. Quantum Computing Basics: Introduction to qubits, quantum gates, and the essential algorithms — Deutsch-Jozsa and Bernstein-Vazirani — that demonstrate quantum speedup. Advanced Quantum Algorithms: Deep dive into quantum algorithms for cryptography, Shor’s algorithm, Grover's search algorithm, and other significant quantum algorithms. Quantum Hardware: Overview of quantum computing hardware types, including superconducting qubits, trapped ions, and recent advancements in technical implementations. Quantum Programming: Learn to use programming languages and frameworks, including Qiskit, Cirq, and Microsoft Q#. Writing quantum codes: practical guides for simulation and execution. Industry Applications: How quantum computing is influencing cryptography, optimization, AI, machine learning, and other fields, with real-world examples. Future Trends and Ethical Considerations: Insights into trends, societal impacts, and ethical challenges related to quantum computing. Why Should You Read It? Unquestionably, if you want to learn about quantum computing and enjoy an in-depth discussion, this book is yours. The narrative is written in a straightforward manner with a good amount of context that helps in understanding the nuances of many different quantum aspects so if you fit into the student category curious to know the basics, a researcher looking for deep learning, or a techie looking to explore practical implementations, you'll take something from it.

"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 computers promise dramatic advantages in processing speed over currently available computer systems. Quantum computing offers great promise in a wide variety of computing and scientific research, including Quantum cryptography, machine learning, computational biology, renewable energy, computer-aided drug design, generative chemistry, and any scientific or enterprise application that requires computation speed or reach beyond the limits of current conventional computer systems. Foundations of Quantum Programming, Second Edition discusses how programming methodologies and technologies developed for current computers can be extended for quantum computers, along with new programming methodologies and technologies that can effectively exploit the unique power of quantum computing. The Second Edition includes two new chapters describing programming models and methodologies for parallel and distributed quantum computers. The author has also included two new chapters to introduce Quantum Machine Learning and its programming models – parameterized and differential quantum programming. In addition, the First Edition's preliminaries chapter has been split into three chapters, with two sections for quantum Turing machines and random access stored program machines added to give the reader a more complete picture of quantum computational models. Finally, several other new techniques are introduced in the Second Edition, including invariants of quantum programs and their generation algorithms, and abstract interpretation of quantum programs. - Demystifies the theory of quantum programming using a step-by-step approach - Includes methodologies, techniques, and tools for the development, analysis, and verification of quantum programs and quantum cryptographic protocols - Covers the interdisciplinary nature of quantum programming by providing preliminaries from quantum mechanics, mathematics, and computer science, and pointing out its potential applications to quantum engineering and physics - Presents a coherent and self-contained treatment that will be valuable for academic and industrial researchers and developers - Adds new developments such as parallel and distributed quantum programming; and introduces several new program analysis techniques such as invariants generation and abstract interpretation

Write algorithms and program in the new field of quantum computing. This book covers major topics such as the physical components of a quantum computer: qubits, entanglement, logic gates, circuits, and how they differ from a traditional computer. Also, Practical Quantum Computing for Developers discusses quantum computing in the cloud using IBM Q Experience including: the composer, quantum scores, experiments, circuits, simulators, real quantum devices, and more. You’ll be able to run experiments in the cloud on a real quantum device. Furthermore, this book shows you how to do quantum programming using the QISKit (Quantum Information Software Kit), Python SDK, and other APIs such as QASM (Quantum Assembly). You’ll learn to write code using these languages and execute it against simulators (local or remote) or a real quantum computer provided by IBM’s Q Experience. Finally, you’ll learn the current quantum algorithms for entanglement, random number generation, linear search, integer factorization, and others. You’ll peak inside the inner workings of the Bell states for entanglement, Grover’s algorithm for linear search, Shor’s algorithm for integer factorization, and other algorithms in the fields of optimization, and more. Along the way you’ll also cover game theory with the Magic Square, an example of quantum pseudo-telepathy where parties sharing entangled states can be observed to have some kind of communication between them. In this game Alice and Bob play against a referee. Quantum mechanics allows Alice and Bob to always win! By the end of this book, you will understand how this emerging technology provides massive parallelism and significant computational speedups over classical computers, and will be prepared to program quantum computers which are expected to replace traditional computers in the data center. What You Will LearnUse the Q Experience Composer, the first-of-its-kind web console to create visual programs/experiments and submit them to a quantum simulator or real device on the cloud Run programs remotely using the Q Experience REST API Write algorithms that provide superior performance over their classical counterparts Build a Node.js REST client for authenticating, listing remote devices, querying information about quantum processors, and listing or running experiments remotely in the cloud Create a quantum number generator: The quintessential coin flip with a quantum twist Discover quantum teleportation: This algorithm demonstrates how the exact state of a qubit (quantum information) can be transmitted from one location to another, with the help of classical communication and quantum entanglement between the sender and receiver Peek into single qubit operations with the classic game of Battleships with a quantum twist Handle the counterfeit coin problem: a classic puzzle that consists of finding a counterfeit coin in a beam balance among eight coins in only two turns Who This Book Is For Developers and programmers interested in this new field of computing.

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.

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Comprehend the mysteries—and the amazing potential—of quantum computing Quantum computing has the promise to be the next huge thing in technology. How do we know that? Look at how much the big players in tech are investing in the technology. Quantum Computing For Dummies preps you for the amazing changes that are coming with the world of computing built on the phenomena of quantum mechanics. Need to know what is it and how does it work? This easy-to-understand book breaks it down and answers your most pressing questions. Get a better understanding of how quantum computing is revolutionizing networking, data management, cryptography, and artificial intelligence in ways that would have previously been unthinkable. With a Dummies guide by your side, you’ll get a primer on the inner workings and practical applications of quantum computers. Learn the difference binary and quantum computers Discover which industries will be most influenced by quantum computing See how quantum improves encryption and enables business Take a look at how quantum is applied in big data and AI For technologists and IT pros interested in getting on board the quantum train—plus anyone who’s quantum-curious—this Dummies guide is a must-have.