Srinjoy Ganguly – författare

Leverage the benefits of quantum computing by identifying business use cases and understanding how to design and develop quantum products and services. This book will guide you to effectively productize quantum computing, including best practices, recommendations, and proven methods to help you navigate the challenges and risks of this emerging technology.The book starts with a thorough introduction to quantum computing, followed by its various algorithms and applications. You will then learn how to build a strong foundation in classical computing, seek practical experience, and stay up-to-date with the latest developments in the field. Moving forward, you will gain an understanding of how to conduct market research to identify business opportunities for quantum computing products and services. The authors then guide you through the process of developing a quantum roadmap and integrating quantum computing into an existing system. This is concluded by a demonstration of howto manage quantum computing projects and how to address their risks and challenges. After reading this book, you will understand quantum computing and how it can be applied to real-world business problems.What You Will LearnIdentify business use cases for quantum computing and understand the potential benefits and risks of quantum applicationsDesign and develop quantum products and services by identifying quantum algorithms, programming in quantum languages, and leveraging quantum simulators and hardwareIntegrate quantum computing into existing systemsIntegrate quantum algorithms with classical algorithmsWho This Book Is ForProduct managers, developers, and entrepreneurs who wish to use the potential of quantum computing for their businesses.

Learn the mathematics behind quantum computing and explore the high-level quantum language Silq to take your quantum programming skills to the next levelKey FeaturesHarness the potential of quantum computers more effectively using SilqLearn how to solve core problems that you may face while writing quantum programsExplore useful quantum applications such as cryptography and quantum machine learningBook DescriptionQuantum computing is a growing field, with many research projects focusing on programming quantum computers in the most efficient way possible. One of the biggest challenges faced with existing languages is that they work on low-level circuit model details and are not able to represent quantum programs accurately. Developed by researchers at ETH Zurich after analyzing languages including Q# and Qiskit, Silq is a high-level programming language that can be viewed as the C++ of quantum computers! Quantum Computing with Silq Programming helps you explore Silq and its intuitive and simple syntax to enable you to describe complex tasks with less code. This book will help you get to grips with the constructs of the Silq and show you how to write quantum programs with it. You’ll learn how to use Silq to program quantum algorithms to solve existing and complex tasks. Using quantum algorithms, you’ll also gain practical experience in useful applications such as quantum error correction, cryptography, and quantum machine learning. Finally, you’ll discover how to optimize the programming of quantum computers with the simple Silq.By the end of this Silq book, you’ll have mastered the features of Silq and be able to build efficient quantum applications independently.What you will learnIdentify the challenges that researchers face in quantum programmingUnderstand quantum computing concepts and learn how to make quantum circuitsExplore Silq programming constructs and use them to create quantum programsUse Silq to code quantum algorithms such as Grover s and Simon'sDiscover the practicalities of quantum error correction with SilqExplore useful applications such as quantum machine learning in a practical wayWho this book is forThis Silq quantum computing book is for students, researchers, and scientists looking to learn quantum computing techniques and software development. Quantum computing enthusiasts who want to explore this futuristic technology will also find this book useful. Beginner-level knowledge of any programming language as well as mathematical topics such as linear algebra, probability, complex numbers, and statistics is required.

Quantum computing systems are powerful for allowing a client to perform any quantum computations from a remote quantum server while concealing the structure and content of the computation fall under the category of blind quantum computing (BQC). In BQC, the client delegates the quantum processing to one or more powerful quantum servers while retaining privacy over the input, computation and output. This makes it suitable for secure quantum cloud computing. This feature is powerful to ensure that even untrusted servers cannot learn the details of the user's computation. With quantum computing, there is a fast-growing need to transition from general-purpose quantum systems to customized architectures tailored to specific application requirements. This transition is critical while considering sustainability goals and financial limitations. With this advanced computing architecture, a custom system can optimize energy use, hardware complexity, and resource allocation to better serve individual user needs while staying within budgetary boundaries.