The Applied Quantum Optimization learning path is a series of courses that support learners in designing, developing, and deploying hybrid-quantum applications for optimization. Tailored to supporting real-world optimization problems, these courses enable learners to identify the best use cases for quantum, formulate mathematical models that accurately represent business needs, convert mathematical models into code suitable for submission to the Stride™ hybrid solver, and implement production-scale quantum applications.

Each course in the learning path builds upon the prior course, furthering learners’ quantum computing skills and empowering teams to launch hybrid-quantum applications that deliver business value.

Getting Started with Applied Quantum Optimization

This beginner-level online course is appropriate for any stakeholder involved in identifying and shaping optimization use cases for quantum computing. This is the first course in the Applied Quantum Optimization learning path.

Problem Formulation for Applied Quantum Optimization

This intermediate-level online course is appropriate for individuals involved in developing optimization models. This is the second course in the Applied Quantum Optimization learning path.

Implementation of Applied Quantum Optimization Models

This intermediate-level course is appropriate for individuals involved in implementing optimization models in code. This is the third course in the Applied Quantum Optimization learning path.