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

By Adrian Keller

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.

• Format: Paperback
• Language: English
• ISBN: B0HKBYC73R
• ISBN13: 9798175468497
• Release Date: September 2026
• Publisher: Independently Published
• Length: 78 Pages
• Weight: 0.26 lbs.
• Dimensions: 0.2" x 6.0" x 9.0"