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portada Quantum Math for Coders: Linear Algebra, Qubits, and Useful Algorithms Without a Physics PhD
Type
Physical Book
Publisher
Author
Language
English
Pages
77
Format
Paperback
ISBN13
9798175468497

Quantum Math for Coders: Linear Algebra, Qubits, and Useful Algorithms Without a Physics PhD

Keller, Adrian (Author) · Independently published · Paperback

Quantum Math for Coders: Linear Algebra, Qubits, and Useful Algorithms Without a Physics PhD - Keller, Adrian

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Synopsis "Quantum Math for Coders: Linear Algebra, Qubits, and Useful Algorithms Without a Physics PhD"

Quantum computing is often explained with either hand-wavy metaphors or dense physics. Quantum Math for Coders takes a different route. This concise conceptual introduction shows technically minded readers how to understand qubits, gates, entanglement, measurement, Grover's search, and Shor's algorithm using mathematical instincts they already have: vectors, matrices, transformations, composition, and complexity. You'll learn why a qubit is a normalized complex vector, how unitary matrices describe quantum gates, why entanglement is a precise statement about non-separability, how interference powers useful quantum algorithms, what Grover and Shor actually accomplish, and why error correction and hardware constraints matter. This is not a software manual and it does not require a physics PhD. It is a practical mental model for readers who want the essential mathematics and the engineering reality without the hype.

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