What Types of Problems Can the D-Wave Quantum Computer Solve?

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. 

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

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