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Archived - Teach the Researcher 2020 - VQE

This course is a capture of the 2020 Teach the Researcher event, and covers the fundamentals of the variational quantum eigensolver (VQE) and related variational algorithms. Topics include optimizers, the hamiltonian, and hardware considerations.

Teach the Researcher 2020: VQE, Nate Earnest-Noble

Suggested reading linked below lectures in course.

VQE Overview – Bryce Fuller

  1. Optimizers – Nate Earnest-Noble

  2. Hamiltonian Mapping Basics – Nate Earnest-Noble

  3. Hamiltonian Mapping and Reduction – Charles Hadfield

  4. Hardware Introduction – Nate Earnest-Noble

  5. Dealing with Real Hardware – Nate Earnest-Noble

  6. Neural Network Estimators – Guglielmo Mazzola

  7. Initial States and Variational Forms – Panagiotis Barkoutsos

  8. Hardware Control – Nick Brønn and Nate Earnest-Noble

  9. Error Mitigation Techniques – Nick Brønn

  10. Building on top of VQE and VQE-cVAR – Panagiotis Barkoutsos