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SKU/Artículo: AMZ-B0GCBP5G5H

Quantum Artificial Intelligence: The Mathematical Rudiments

Detalles del producto

Disponibilidad:
En stock

Peso con empaque:
0.90 kg

Devolución:
Sí

Condición
Nuevo

Producto de:
Amazon

Viaja desde
USA

Sobre este producto

Quantum Artificial Intelligence isn't science fiction—it's the next frontier where quantum mechanics meets machine learning. But here's the challenge: most resources either drown you in physics theory or skip the math entirely. This book takes a different path. "Quantum Artificial Intelligence: The Mathematical Rudiments" is a clear guide to understanding the outline of math that makes quantum AI possible. Designed for an initial overview of the field, for a review, for a bird eye view of the field before embarking on a serious study the book is suited for anyone needing a fast paces yet mathematical view of ideas in the field of machine learning and AI. What You'll Discover Part 1: The Foundation – Start with the mathematical basics: linear algebra, probability, and the core concepts that underpin both classical and quantum computing. Even if you're rusty on your math, this section brings you up to speed. Part 2: Classical AI Fundamentals – Before jumping into quantum, you need to understand classical machine learning from a mathematical perspective. Neural networks, optimization, learning algorithms—all explained with clarity. Part 3: Quantum Mechanics for Computing – Here's where quantum enters the picture. Qubits, superposition, entanglement, and quantum gates—demystified through mathematical description rather than vague analogies. Part 4: Quantum Computing Frameworks – Learn how quantum circuits work, how quantum algorithms are constructed, and what makes quantum computation fundamentally different from classical approaches. Part 5: Quantum AI Integration – Finally, the convergence. How do quantum computing principles enhance machine learning? What are quantum neural networks? How does quantum optimization work? This is where everything comes together. Who This Book Is For This book is designed for anyone who wants to genuinely understand quantum AI, not just hear about it: - Computer scientists and AI practitioners curious about quantum computing - Mathematics students interested in applied quantum theory - Engineers and researchers preparing for the quantum computing era - Self-learners who prefer a mathematical understanding over hand-waving explanations - Anyone who's been frustrated by resources that are either too abstract or too superficial or too lengthy or too verbose You don't need a physics PhD, but you should be comfortable with mathematical thinking. If you can handle calculus and aren't afraid of equations, you're ready. What Makes This Book Different The approach is systematic: every concept builds on the previous one. The language is straightforward: no unnecessary jargon, no showing off. The focus is practical: these are the mathematical tools you actually need, not a theoretical dissertation. You won't find philosophical musings about quantum consciousness or breathless hype about quantum supremacy. What you will find is a honest, rigorous exploration of the mathematics that makes quantum AI work. Further the book is a good way to give yourself an early overview of Aritifical Intellgience, if you are studying the field. Focusing on the core ideas in a mathematical way, eases study. Your Path Forward Quantum AI is still emerging, which means you're not late—you're early. But being early means building real understanding, not just following trends. This book gives you that understanding: the mathematical rudiments that will let you read research papers, understand quantum algorithms, and maybe even contribute to this field yourself. The quantum revolution in artificial intelligence is coming. The question is: will you understand the math behind it, or just watch from the sidelines? Start building your foundation today.

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U$S 12,48

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U$S 22,46

44% OFF

U$S 12,48

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