The D-Wave quantum computer is well-suited to solving the following types of problems:

**Combinatorial optimization problems**: Finding optimal solutions from a finite set of options.**Probabilistic machine learning**: Providing samples that match a known probabilistic distribution to train machine-learning models

The programming techniques you will learn as you work through the demos, interactive examples, and documentation available through Leap can be applied to all Boolean logic circuits and a broad class of constraint satisfaction problems.

## Comments

Adeel K(Report)What does it mean by finite set of options? Is it 10,000 data points?

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