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Know how to use quantum computing solutions involving artificial intelligence (AI) algorithms and applications across different disciplines. Quantum solutions involve building quantum algorithms that improve computational tasks within quantum computing, AI, data science, and machine learning.

This book provides a comprehensive discussion of how quantum cryptography is changing cybersecurity. It starts by emphasizing the importance of quantum cryptography in next-generation security frameworks, focusing on the threats to classical cryptography and the economic implications of emerging technologies like AI and IoT. It then provides an overview of existing cryptographic methods and stresses the need to move to quantum-based solutions for better data protection and access control. It covers the fundamental principles of quantum cryptography, specifically its role in identity and access management and the concept of "Trust Exchange." It also discusses quantum satellite communications, quantum networks, and the creation of a quantum internet to show how these technologies improve secure communication. This is followed by a review of the development of digital signatures and digital identity systems, demonstrating how quantum algorithms are making traditional methods resistant to quantum attacks. The cybersecurity section introduces quantum-resistant cryptosystems and ledgers and contrasts classical and quantum cryptographic algorithms. Coverage concludes with a roadmap for implementing quantum cryptography in businesses, outlining the steps needed for digital transformation, change management, and the integration of quantum-based cybersecurity applications.

Explore Golang\'s data structures and algorithms to design, implement, and analyze code in the professional settingKey FeaturesLearn the basics of data structures and algorithms and implement them efficientlyUse data structures such as arrays, stacks, trees, lists and graphs in real-world scenariosCompare the complexity of different algorithms and data structures for improved code performanceBook DescriptionGolang is one of the fastest growing programming languages in the software industry. Its speed, simplicity, and reliability make it the perfect choice for building robust applications. This brings the need to have a solid foundation in data structures and algorithms with Go so as to build scalable applications. Complete with hands-on tutorials, this book will guide you in using the best data structures and algorithms for problem solving.The book begins with an introduction to Go data structures and algorithms. You'll learn how to store data using linked lists, arrays, stacks, and queues. Moving ahead, you'll discover how to implement sorting and searching algorithms, followed by binary search trees. This book will also help you improve the performance of your applications by stringing data types and implementing hash structures in algorithm design. Finally, you'll be able to apply traditional data structures to solve real-world problems.By the end of the book, you'll have become adept at implementing classic data structures and algorithms in Go, propelling you to become a confident Go programmer.What you will learnImprove application performance using the most suitable data structure and algorithmExplore the wide range of classic algorithms such as recursion and hashing algorithmsWork with algorithms such as garbage collection for efficient memory managementAnalyze the cost and benefit trade-off to identify algorithms and data structures for problem solvingExplore techniques for writing pseudocode algorithm and ace whiteboard coding in interviewsDiscover the pitfalls in selecting data structures and algorithms by predicting their speed and efficiencyWho this book is forThis book is for developers who want to understand how to select the best data structures and algorithms that will help solve coding problems. Basic Go programming experience will be an added advantage.