D-Wave
Getting Started with Applied Quantum Optimization
D-Wave course on spotting optimization problems their hybrid solvers can take. Constraints and a business case. No maths or physics required.
Topic
Quantum Optimization
6 courses · 1 tutorial
Courses
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edX
Applied Quantum Computing I: Fundamentals (Purdue)
Purdue University / Pramey Upadhyaya
The first course in Purdue University's Applied Quantum Computing series. Teaches the postulates of quantum mechanics and how they map onto present-day quantum information processing models including computation, simulation, optimization, and machine learning.
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Classiq engineering and research team
Classiq Quantum Computing Tutorials
Classiq's free tutorials. Algorithms are written in Qmod, their high-level language. Includes machine learning and optimization examples.
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D-Wave
Quantum Programming Core (D-Wave)
D-Wave developer training, about 35 hours: QUBO, Ising models, the Ocean SDK, hybrid solvers, and a portfolio example. Office hours with D-Wave staff. Several 2026 dates.
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D-Wave
Quantum Quick Start (D-Wave)
Quantum Programming Core plus one extra month of Leap cloud access. About 35 hours, then QPU time, for people new to Leap. About six weeks.
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IBM Quantum
Quantum Optimization with IBM Quantum (openHPI)
Julien Gacon, Dr. Daniel J. Egger, Dr. Stefan Woerner, Lucia Cuervo Valor (IBM Quantum)
Free openHPI course on quantum approaches to combinatorial optimization, developed with IBM Quantum. Covers QAOA, VQE, and the quadratic unconstrained binary optimization (QUBO) framework with Qiskit implementation.