Power of data in quantum machine learning

[ghellstern]

Up to now it is not clear if quantum machine learning has an advantage compared to classical machine learning.

In paper https://www.nature.com/articles/s41467-021-22539-9
a suitable test has been proposed which checks if the data has certain geometrical properties.

Deliverable:
Tutorial about the proposed method and implementation in Qiskit which allows to apply the method to different data sets.

[orielkiss]

FYI, this has been implemented here https://arxiv.org/abs/2206.15284.

[ghellstern]

Thank you for the hint! However, as far as I see, they use PennyLane and not Qiskit ...

[gunchamalik]

@ghellstern Please let me know the skills required for this project.

[orielkiss]

The authors also allow the use of different backends such as pennylane, qiskit or cirq. What i mean is that this is already implemented https://quask.readthedocs.io/en/latest/index.html so this may save you some time :)

[ghellstern]

@ghellstern Please let me know the skills required for this project.

It's necessary to understand the theoretical approach of the paper, to use Qiskit to implement it and the skill to present it in a pedagogical way. Maybe the project results in a paper; therefore scientific writing would be great.

[zinaefchary]

I have a background in QML and would be definitely interested in the project :)

[grossiM]

Maybe it is an interesting project but it is already implemented in https://quask.readthedocs.io/en/latest/index.html

[EACMichiels]

@ghellstern Dear Gerard, I have had too much workload to join from the start. But I would be eager to see the results of this work and potentially review the work done and provide feedback. Let me know if I still can help please. Eric_Michiels@be.ibm.com. +32 475 252130.