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This repository was archived by the owner on Dec 21, 2022. It is now read-only.
This repository was archived by the owner on Dec 21, 2022. It is now read-only.

[ENTRY] Quantum Graph Neural Networks  #141

@amirebrahimi

Description

@amirebrahimi

Team Name:

The Superpositioned States of America

Project Description:

Our work focuses on Quantum Graph Neural Networks (QGNNs), to solve the particle tracking reconstruction challenge. Specifically, we are looking to focus on the detailed analysis of the vanishing gradient problem, long training times, and how robust the overall approach is to noise from real quantum computers, which have been mentioned but not addressed yet in prior work. Our work aims to improve the viability of the QGNN method for particle tracking problems.

Presentation:

CERN_Project_Report.pdf

Source code:

https://github.com/amirebrahimi/QHack-2022-Hackathon
https://github.com/amirebrahimi/qtrkx-gnn-tracking/

Which challenges/prizes would you like to submit your project for?

CERN
AQT
Google Quantum
Simulation Challenge
Young Scientist (we have an undergrad from IQT)

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    Google Quantum AI Research ChallengeMore details here: https://github.com/XanaduAI/QHack/blob/master/Open_Hackathon.md#google-quantum-aiHybrid Algorithms ChallengeMore details here: https://github.com/XanaduAI/QHack/blob/master/Open_Hackathon.md#hybrid-algorithmsScience ChallengeMore details here: https://github.com/XanaduAI/QHack/blob/master/Open_Hackathon.md#science-challengeSimulation ChallengeMore details here: https://github.com/XanaduAI/QHack/blob/master/Open_Hackathon.md#simulation-challeYoung Scientist ChallengeMore details here: https://github.com/XanaduAI/QHack/blob/master/Open_Hackathon.md#young-scientist-c

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