Quantum Math for Coders

Linear Algebra, Qubits, and Useful Algorithms Without a Physics PhD

von Adrian Keller

78 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: Independently published
• ISBN: 9798175468497
• Sprache: Englisch
• Erscheinungsdatum: 19.09.2026
• Größe: 229 x 152 mm
• Verlag: Independently published