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.
What does it mean by finite set of options? Is it 10,000 data points?
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