Unitary Fund

[gcattan]

@qbarthelemy @toncho11 @sylvchev

This looks very interesting:

https://unitary.fund/

Maybe we can suggest a project idea with pyRiemann-qiskit.

[gcattan]

(max 1000 characters) Some items to consider:

• How will this project benefit the ecosystem?
• Who will use what you are building and why?
• How does your project integrate with other parts of the ecosystem? How does it differentiate from what is already there?
• Why are you the right person/people to do this?

More details: https://unitary.fund/faq.html

[gcattan]

Link to video proposal. It should clearly describe the proposed project, how it helps develop the quantum technology ecosystem, and why you have the skills/knowledge/background to build it. You can view an example video from a successful application at https://bit.ly/uf-example question is required.*
This should be a < 2min video. Keep it simple and avoid spending time on video production. Just talking naturally into the camera works great.

[sylvchev]

Good opportunity! I have very limited time right now but I would help to review the submission

[gcattan]

1000 characters is a bit short, but here is the v1 proposal (feel free to edit this post):

We are developing pyRiemann-qiskit, an open-source library using Riemannian geometry (pyRiemann) and quantum (Qiskit) to classify time series, in particular brain waves.
This project comes from our experience working with brain-computer interfaces, which have limited usability due to their low signal-to-noise ratio.
We want to compare the quantum and classical approaches by running an experiment on a real quantum machine. Our objective is to determine if quantum algorithms can do better or be used together with classical approaches on not very well separated data. The work will be committed to pyRiemann-qiskit, receive appropriate documentation and examples, and ideally be published in an open-access journal.
pyRiemann-qiskit is part of the Qiskit ecosystem. It will primarily benefit researchers in cognitive sciences who are interested in the classification of brain waves. However, the library is compatible with all types of time series, from biosignal to financial data.