Quantum Computing: A Gentle Introduction for AI Engineers (English Edition) baixar livro de graça

Quantum computing offers new possibilities for AI, bringing the promise of faster and more powerful breakthroughs. This book is designed as an approachable bridge from machine learning into the quantum realm. If you are an AI engineer eager to discover what’s next, this book is perfect for you.

This book was written from the perspective of an AI engineer who is somewhat familiar with linear algebra, the probability theory, and various machine learning techniques, and it is divided into four parts.

• Part 1: You will be motivated with some basic ideas of quantum computing and then lay mathematical foundations of complex numbers, vectors, and matrices as well as their metaphors.
• Part 2: You will be introduced to two sets of quantum gates and output measurement, as well as how to assemble them into a quantum algorithm implementable using PennyLane on Python.
• Part 3: You will be introduced to a wide array of quantum algorithms and their applications using self-explanatory metaphors.
• Part 4: We will focus on how to leverage quantum computing in the field of AI, ranging from support vector machines, neural networks, to optimization algorithms.

Notwithstanding, this book is limited to the field of AI and it may not cover all aspects of quantum computing and relevant topics.

In this book, we will explore:

• Computing with quantum mechanics
• Mathematical background (i.e. complex algebra) explained with intuitions, metaphors, and visualizations
• Quantum information and logic gates
• Reading and designing quantum circuits
• Foundational quantum algorithms e.g. Deutsch algorithm, Grover’s search, Shor’s algorithm, etc.
• Quantum simulation
• Quantum machine learning
• Quantum approximate optimization algorithms (QAOA)

Built specifically for AI engineers and machine learning practitioners, this book uses intuitive analogies to turn abstract quantum concepts into an accessible, actionable extension of your existing skillset.

Author: Prachya Boonkwan (PhD, The University of Edinburgh) is currently a lecturer at the School of ICT, Sirindhorn International Institute of Technology (SIIT), Thammasat University, Thailand. Formerly, he was a senior researcher at the National Electronics and Computer Technology Center (NECTEC), Thailand. His research interests include natural language processing, artificial intelligence, quantum computing, and hyperdimensional computing.

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