Designing and running variational algorithms in the QLM

The QLM comes with a collection of tools that allow you to design and run variational eigensolvers.

This folder contains notebooks introducing the different tools provided inside the qat.vsolve namespace.

• a plugin for classical optimization wrapping scipy.optimize.minimize
• a basic VQE example
• a QAOA implementation and its interaction with the variational plugins
• an example of how to build smart execution stacks in the QLM

And more information about adaptative plugins/stacks, here:

• Junctions and Optimizers