Meet the Quantum Natural Gradient with Momentum (Momentum-QNG) Optimizer
Closed this issue · 5 comments
General information
Name
Oleksandr Borysenko
Affiliation (optional)
National Science Center "Kharkiv Institute of Physics and Technology", 61108 Kharkiv, Ukraine
Twitter (optional)
Your Twitter username, if interested; helps us advertise your demo while linking directly back to you.
Image (optional)
Suggested image to use when advertising your demo on Twitter; can be provided via hyperlink or by copy/pasting directly in GitHub.
Demo information
Title
Meet the Quantum Natural Gradient with Momentum (Momentum-QNG) Optimizer
Abstract
In this demo we introduce our new Momentum-QNG optimization algorithm. We demonstrate its performance by optimizing the ground state energy of 8-qubit quantum Sherrington-Kirkpatrick model with VQE ansatz. We benchmark it together with the Momentum and basic QNG optimizers.
Relevant links
Add a link to your demo (as a GitHub repository, Jupyter notebook, Python script, etc.) as well as links to any papers/resources used.
Thanks @borbysh ! This looks amazing.
We'll do an internal review and get back to you within a week or so with next steps. Congrats!
This looks brilliant, @borbysh , congrats! :)
Could I ask you for a couple of small things?
- Could you use "PennyLane" instead of "Pennylane" in the Demo? 😅
- Do you and your coauthors (or your institute? 😉) have Twitter or LinkedIn accounts? We can link to them from the PennyLane accounts, if you'd like.
I repared "PennyLane" and added some LinkedIn accounts. Now some author names are clickable
Thanks a lot, @borbysh !
I'll make sure it's live soon (either today or on Monday), and our marketing team will tag you next week as well. :)
Well done — I hope lots of people see it!