qiskit-community / qiskit-camp-africa-19

Qiskit Camp Africa - December 11-14, 2019

https://community.qiskit.org/events/africa/

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Classical optimizer for VQE #6

Closed t-imamichi closed 4 years ago

t-imamichi commented 4 years ago

Abstract

Variational quantum eigensolver (VQE) is a hybrid quantum algorithm to find the ground state of an input Hamiltonian. There are several classical optimizer available in Qiskit Aqua such as SPSA and Cobyla. See the full list.

Let's implement more optimizers for VQE of Aqua. There are a couples of options as follows.

You come up with new optimization algorithms and implement them
You look for papers about optimization of VQE and implement them, e.g., Subspace-search variational quantum eigensolver for excited states
You look for open source libraries of optimization and integrate them into Aqua, e.g., Optuna, Hyperopt, and RBFOpt.

Description

Members

@githubhandle
@githubhandle - Slack: @slackhandle email: example@example.com
Qiskit Coach: @t-imamichi

Deliverable

Aqua PR https://github.com/Qiskit/qiskit-aqua

GitHub repo

lmongalo commented 4 years ago

Hi Im am Lehlohonolo, I am interested in this issue

t-imamichi commented 4 years ago

https://github.com/qiskit-community/qiskit-camp-africa-19/issues/14 is related. Especially, If you are interested in Quantum Natural Gradient, please check it out.

Richhy commented 4 years ago

Hi, I am Richman. I'm interested in this project.

Adeola80 commented 4 years ago

Hi, Ajagbe Sunday is my name, I am interested in this project