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Many important business problems can be solved more efficiently and more successfully using quantum-powered optimization. This course equips learners with the knowledge and tools to complete the first steps in developing a quantum application: the problem discovery and problem description steps.
Learners will be able to identify problems that can benefit from D-Wave’s quantum-classical hybrid technology and then describe those problems in a way that allows developers to model them. These skills are crucial for the success of quantum optimization projects.
This beginner-level course is appropriate for any stakeholder involved in identifying and shaping optimization use cases for quantum computing. Course content is asynchronous online and requires approximately 5 hours to complete. You have access to this course for 30 days from your date of registration.
All purchases are in USD.
There are no formal prerequisites for this course.
A basic familiarity with your own organizational processes and key performance indicators is helpful. No math, physics, or quantum computing background is required.
Lesson 1: Characteristics of Optimization Problems
Lesson 2: Quantum Annealing is Naturally Suited for Optimization
Lesson 1: Problem Discovery Methodology
Lesson 2: Recognizing Quantum-Friendly Applications
Lesson 1: Problem Objectives
Lesson 2: Problem Constraints
Lesson 3: Decision Variables and Problem Parameters
Lesson 1: Business Value
Lesson 2: Make a Quantum Business Case
This comprehensive, hands-on training allows you to quickly put theory into practice with real-world quantum applications. This online course is designed for anyone who wants to learn the basics of quantum programming using D-Wave technology.
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