Classical data preprocessing influence on QML

[dsierrasosa]

Description

With this project we are looking forward to study the effect of data pre-processing and data transformation in Quantum Machine Learning Techniques. This analysis will be conducted of synthetic datasets assessing the performance of already implement quantum machine learning algorithms. For this project we have formed a small study group and have found some hints that under some transformations of the datasets QML algorithms perform differently. It would be ideal if we prove and formalize this hypothesis.

Mentor/s

Daniel Sierra-Sosa

Type of participant

Person with background on data analytics or statistics.

Number of participants

1 or 2 persons

Deliverable

Formal description and analysis of the pre-processing influence, Journal manuscript submission

[HuangJunye]

@iqranaz240 @rochisha0 @e-eight Can you comment on this issue so that I can assign you? Please also work with your mentor to refine the project, define scope and deliverables and update the project description in this issue.

[dsierrasosa]

Thank you @HuangJunye looking forward to start working on this project.

[rochisha0]

Please assign this to me!

[e-eight]

Hi @HuangJunye. Please assign this to me. Thanks.

[iqranaz240]

Hi @HuangJunye <https://github.com/HuangJunye>, Looking forward to working on it. Thanks.

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On Sat, Mar 6, 2021 at 5:18 AM Soham Pal ***@***.***> wrote: Hi @HuangJunye <https://github.com/HuangJunye>. Please assign this to me. Thanks. — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#30 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ALUM7YLH2NHFATAHWJATYZTTCFYFRANCNFSM4XQBZNYQ> .