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Gesamtkatalog

Catalogue complet

Herbert S: Quantum Computing

Quantum Computing

Foundations and Practice

This cross-disciplinary field utilizes the strange effects of quantum mechanics to enable information processing and computing that would be impossible on traditional 'classical' computers. The field has developed rapidly over the last few years due in part to its tremendous technological potential. The theoretical foundations of the subject are clearly established and good textbooks are available. However, many experimental directions are under investigation and hardly any book describing them is available on the market. Quantum cryptography, for example, has already evolved to marketable devices. Most of the books on quantum information and/or quantum computing address the important aspect of optical implementation only briefly. This book solves that by focusing on all light-based approaches to quantum computing.

Quantum Information Processing with Light

Progress In Data Science

Ubiquitous Laplacian: An Introduction To Numerical Pdes With Applications In Data Science

Many-Body Green's Functions for Time-Dependent Problems

A Statistical Guide to Certainty in an Uncertain World

What Are the Odds?

This book focuses on how the interests of corporations and governments to embrace a "new economy" have served to drive the development and uptake of mobile/ubiquitous media.

Everything, Everywhere, All the Time

Ubiquitous Connectivity and the Virtual Workplace

This book is designed as an introductory course in Quantum Field Theory (QFT) for students who have completed two full graduate-level courses in Quantum Mechanics (QM). Quantum Field Theory is the framework that combines quantum mechanics with special relativity, providing a comprehensive description of fundamental forces and particles. It is a crucial part of modern theoretical physics and essential for understanding the behaviour of elementary particles, the dynamics of fields, and the interactions that govern the universe at the smallest scales. This book is structured to gradually introduce the key concepts and mathematical tools necessary for mastering QFT. Each chapter builds on the knowledge acquired in previous sections, ensuring a coherent and comprehensive understanding of the subject. The material presented here helps doctoral students bridge the gap between the traditional quantum mechanics taught at the graduate level and the more advanced concepts and techniques used in quantum field theory. Key Features:<ul> <li>Specifically designed to connect traditional quantum mechanics knowledge with quantum field theory.</li> <li>Presents a coherent learning path, including end-of-chapter trivia questions and problems, that gradually introduces the concepts and skills needed for grasping QFT.</li> <li>Tailored for doctoral-level physics students, ensuring appropriate depth and complexity.</li> </ul>

For Doctoral Level Physics

A First Graduate Course in Quantum Field Theory

Learn to build a web app that can monitor millions of posts across all social media platforms to chart public opinion in real time. Social media has become our modern-day agora, the place where we get our news and engage in political discourse. With disinformation, hate speech, foreign interference, authoritarianism, market monopolization, and political polarization all on the rise, monitoring social media in the public interest has never been so difficult nor so urgent. Social Media Observatory is an in-depth beginner’s guide to coding full-stack web applications in Python to track and analyze social media activity at scale, giving you unparalleled insights into the cultural and political conversations of our time, then empowering you to reach your own conclusions. You’ll start by coding a web app to monitor Russian disinformation channels discussing Ukraine on Telegram, then learn more adversarial methods to scrape the Wayback Machine, Instagram, and TikTok. You’ll detect Twitter bots following Saudi influencers, extract text-embedded URLs to reveal a white supremacist blogosphere, parse archived tweets to reveal the discourse leading up to the January 6 insurrection, and learn to circumvent Meta's and ByteDance's defenses to scrape Instagram and TikTok, collecting evidence of war crimes in the Middle East. Finally, you’ll write an API and deploy your observatory to a cloud server to collaborate with other investigators. By the end of the book, you’ll have a working website that allows collaborators to log in, request data collection, and perform analysis of collected data, via a point-and-click interface.&nbsp; Along the way, you’ll learn to: <ul><li>Use Python and RabbitMQ to retrieve Telegram data from a remote API</li><li>Store data with PostgreSQL and query it with SQLAlchemy</li><li>Analyze the data you’ve retrieved with Pandas, NetworkX, Gephi, and other tools</li><li>Use state-of-the-art AI tools to transcribe audio and classify text</li><li>Deploy a website with an interactive dashboard using FastAPI, Dash, Cytoscape, Uvicorn, Gunicorn, Nginx, AWS, and Let’s Encrypt</li><li>Containerize your apps with Docker and provision infrastructure with Pulumi</li></ul> Whether you’re a citizen scientist, a security researcher, a journalist, an activist, or a scholar, Social Media Observatory is an essential blueprint for building your window into online worlds.

Track Disinformation, Spot Bots, and Find Out What's Really Happening

Social Media Exposed

World Scientific Book Series In Quantum Information, Science And Technology

This unique compendium gives an overview of the current research activities and developments within the areas of quantum hardware, quantum computing, quantum software, quantum communication and quantum sensing in Denmark. Renowned contributing authors are part of the Danish research community and work in research institutions or companies dealing with and related to quantum technologies.The useful reference text allows readers to identify the research groups within Denmark working on specific topics as well as learning about topics which might be unfamiliar to them. The intention of each chapter is to give a good introduction to the scientific theory and the current state of the art.

Quantum Hardware And Algorithms For Engineering And Life Sciences Applications: A Review Of The Danish Quantum Research Community

Knowing how to speak to AI - and how not to - is a skill that everyone now needs. This book will help the reader understand how to make the most of these incredible new technologies, without succumbing to new powers of manipulation and control. Hundreds of millions of people now talk to AI like ChatGPT every day. They organise their finances and holidays, ask advice, seek therapy and find love - via machines. Almost overnight, chatbots are transforming society, politics and business. This is one of the biggest and fastest technological changes in history - but most people still don't really understand how AI works, how to make the most of it - or what the dangers are. As some people use it to turbo-charge their productivity at work, others are falling into dangerous conspiracies, delusions and psychosis. In How to Talk to AI, tech commentator Jamie Bartlett takes the reader inside the machine: showing how we can stay in control of our powerful new companions, even as they are changing the way we live, feel, and think.

The most important conversations of your life

How to Talk to AI

Woodhead Publishing Series in Civil and Structural Engineering

Digital Informatics, Visualisation and Virtual Reality in the Built Environment explores the interface between people, digital information and the built environment. It showcases, in-depth, the tools and techniques behind sustainable construction management and urban planning. In addition, it provides readers with a comprehensive understanding of how digital informatics helps leading professionals make informed decisions. Practical examples will be presented, including: (1) a virtual tunnel boring machine which uses real-time data to safely train personnel while monitoring progress on a complex civil infrastructure project; (2) carrying out risk assessments for modular construction using a gaming environment; and (3) using big data and geographic formation systems (GIS) analytics to better understand the impact of urban waste, bushfires, and the pandemic.

Digital Informatics, Visualisation and Virtual Reality in the Built Environment

A Brief History of the Universe (and our place in it)

Application of Python in Healthcare Technology: Medical Data Analysis and Developing ML/AI Models provides comprehensive coverage of the Python programming language from a medical-based perspective. With a strong focus on utility-based learning rather than technical-based learning of Python, this title clarifies how the application of Python in the healthcare technology industry has a meaningful impact on patient care through the development of deep learning models for early prediction of diseases and the development of Clinical Decision Support System (CDS). In 13 chapters, an extensive range of topics pertaining to the intersection of Python and medical sciences is covered. Coverage defines how to set up an environment to work with python, describes Python class, methods, and functions, explains both basic and advanced statistical analysis in Python, and provides a tool to assist in the development of deep learning models such as API, Git, Github, NumPy, Pandas, and SciPy.

Medical Data Analysis and Developing ML/AI Models

Application of Python in the Healthcare Technology

Quantum Computing

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