Hybrid Usage Examples

For beginner examples, see the Basic Hybrid Examples section.

Nonlinear Models

These examples solve small instances of known optimization problems using the Leap service’s hybrid nonlinear-model solver.

Vehicle Routing: Using a Nonlinear Model

Demonstrates more advanced usage options for solving nonlinear models.

Quadratic Models

These examples use the Leap service’s quadratic model solvers.

Structural Imbalance: BQM Solver

Solves an unconstrained problem using the Leap service’s hybrid BQM solver.

Map Coloring: DQM Solver

Solves a discrete quadratic model (DQM) using the Leap service’s hybrid DQM solver.

Map Coloring: dwave-hybrid Solver

Demonstrates using a dwave-hybrid out-of-the-box hybrid solver.

Big Random Graph: dwave-hybrid Workflow

Builds a hybrid workflow and solver for a large random-graph problem.

Demos

D-Wave’s dwave-examples GitHub repo contains many more code examples.

Nurse scheduling

Example of constraint-satisfaction problem.

maze

Example of constraint-satisfaction problem.

circuit fault diagnosis

Example of constraint-satisfaction problem.

Map coloring

Complements similar examples to those presented above.

job-shop scheduling

Complements similar examples to those presented above.

RNA folding

Prototype application.

portfolio optimization

Prototype application.

Jupyter Notebooks

These examples, in a web-based interactive environment that includes documentation and code, are helpful for both walking beginners through the theory and practice of problem solving and explaining complex features. They can also serve as a framework in which to develop your own code.

Structural imbalance notebook

Complements the Structural Imbalance: BQM Solver example.

Hybrid computing notebooks

These notebooks walk you through using and developing hybrid solvers.

Pegasus notebook

Explains a feature of the quantum computer.

reverse annealing notebook

Explains a feature of the quantum computer.