3 courses · 5 tutorials
D-Wave
Preparatory course building the math and Python skills needed before D-Wave's Quantum Programming Core. Covers QUBO formulation, quadratic models, constraint writing, and Python for optimization. Optional but recommended for developers without strong math backgrounds.
D-Wave
D-Wave's flagship developer training: 35 hours of hands-on instruction covering QUBO formulation, Ising models, Ocean SDK, hybrid solvers, and real-world portfolio optimization. Includes virtual office hours with D-Wave experts. Multiple 2026 sessions available.
D-Wave
D-Wave's bundle combining Quantum Programming Core with one additional month of unlimited Leap Quantum Cloud access. 35 hours of developer training plus hands-on QPU access for first-time Leap users. Approximately 6 weeks total.
Learn how to formulate the Traveling Salesman Problem and graph coloring as QUBOs and BQMs using D-Wave Ocean SDK, then solve them with LeapHybridSampler and interpret the results.
Use D-Wave's Constrained Quadratic Model (CQM) sampler to solve optimization problems with explicit constraints, eliminating the need for manual QUBO penalty encoding.
Formulate the graph coloring problem as a QUBO and solve it on D-Wave using the Ocean SDK.
Install the D-Wave Ocean SDK, formulate a simple optimization problem as a QUBO, and solve it using D-Wave's quantum annealer or simulator.
Use D-Wave's Leap hybrid solver service to solve large optimization problems that are too big for the QPU alone: LeapHybridSampler, problem formulation, and interpreting solutions.