Foundations for Quantum Programming (D-Wave)

An optional preparatory course for developers who want to take D-Wave’s Quantum Programming Core but need to strengthen their math and Python foundations first. D-Wave provides a free self-assessment tool to help learners determine whether this preparation is necessary before investing in the core training.

What you’ll learn

• Problem variables and how to represent optimization problems mathematically
• Mathematical symbols and notation used throughout quantum optimization literature
• Truth tables and Boolean logic in the context of constraint formulation
• Quadratic Unconstrained Binary Optimization (QUBO): what it is, how to construct a QUBO matrix, and why it is the standard form for quantum annealing problems
• Summation notation and how to express objective functions compactly
• Constraint formulation: turning business rules into mathematical constraints
• Graphical and matrix representations of optimization problems
• Python programming patterns for setting up and solving optimization problems with D-Wave’s Ocean SDK

Who is this for?

Developers who have intermediate programming experience but are not comfortable with the mathematical formalism of optimization problems. If you can write Python but have not worked with quadratic models, QUBO formulations, or linear algebra notation, this course fills that gap before you invest in Quantum Programming Core.

D-Wave offers a free self-assessment to help you decide if this course is needed — learners comfortable with the prerequisites for Quantum Programming Core can skip it.

Relationship to other D-Wave courses

This course is optional preparatory material for Quantum Programming Core ($1,000), which is the main developer training. Learners who complete both have a continuous learning path from math fundamentals through hands-on QUBO programming and Ocean SDK usage on D-Wave hardware.