quantum-melbourne / qiskit-hackathon-22

A repository for Qiskit Hackathon Melbourne (July 4-7, 2022)
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Using quantum machine learning to model financial wellbeing. #13

Open nitinef opened 2 years ago

nitinef commented 2 years ago

Abstract

Financial wellbeing involves measuring people's financial comfort in the context of their day to day expenses, future savings (e.g., retirement) and their resilience to financial shocks.

Description

The plan is to train quantum machine learning algorithm(s) over real world financial wellbeing data with the aim to better model financial wellbeing measure given the parameters.

Members

Anthony Hsu, Nitin Yadav

Coach: @desireevl

Deliverable

Learning how to apply QML to financial wellbeing data.

udaya12 commented 2 years ago

Hi Nitin, Add me to to the group;

desireevl commented 2 years ago

@MingCHEN-Github joining as well

desireevl commented 2 years ago

@nitinef https://qiskit.org/documentation/stable/0.24/tutorials/machine_learning/03_vqc.html

nitinef commented 2 years ago

Presentation

FWB-Hackathon.pdf

MingCHEN-Github commented 2 years ago

2-FWB_Hackthon.pdf

MingCHEN-Github commented 2 years ago

update-Fwb_hackathon.pdf