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
Optimizers – Nate Earnest-Noble
Hamiltonian Mapping Basics – Nate Earnest-Noble
Hamiltonian Mapping and Reduction – Charles Hadfield
Hardware Introduction – Nate Earnest-Noble
Dealing with Real Hardware – Nate Earnest-Noble
Neural Network Estimators – Guglielmo Mazzola
Initial States and Variational Forms – Panagiotis Barkoutsos
Hardware Control – Nick Brønn and Nate Earnest-Noble
Error Mitigation Techniques – Nick Brønn
Building on top of VQE and VQE-cVAR – Panagiotis Barkoutsos