Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Quantum Math for Coders: Linear Algebra, Qubits, and Useful Algorithms Without a Physics PhD

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

Keller, Adrian

Paperback

General ComputersPhysics

ISBN13: 9798175468497
Publisher: Independently Published
Published: Sep 19 2026
Pages: 78
Weight: 0.26
Height: 0.16 Width: 6.00 Depth: 9.00
Language: English
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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