qiskit-advocate / qamp-spring-21

Qiskit advocate mentorship program (QAMP) spring 21 cohort
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Classical data preprocessing influence on QML #30

Open dsierrasosa opened 3 years ago

dsierrasosa commented 3 years ago

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 commented 3 years ago

@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 commented 3 years ago

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

rochisha0 commented 3 years ago

Please assign this to me!

e-eight commented 3 years ago

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

iqranaz240 commented 3 years ago

Hi @HuangJunye https://github.com/HuangJunye,

Looking forward to working on it.

Thanks.

On Sat, Mar 6, 2021 at 5:18 AM Soham Pal notifications@github.com wrote:

Hi @HuangJunye https://github.com/HuangJunye. Please assign this to me. Thanks.

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