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[ENTRY] Quantum Graph Neural Networks #141
Labels
Google Quantum AI Research Challenge
More details here: https://github.com/XanaduAI/QHack/blob/master/Open_Hackathon.md#google-quantum-ai
Hybrid Algorithms Challenge
More details here: https://github.com/XanaduAI/QHack/blob/master/Open_Hackathon.md#hybrid-algorithms
Science Challenge
More details here: https://github.com/XanaduAI/QHack/blob/master/Open_Hackathon.md#science-challenge
Simulation Challenge
More details here: https://github.com/XanaduAI/QHack/blob/master/Open_Hackathon.md#simulation-challe
Young Scientist Challenge
More details here: https://github.com/XanaduAI/QHack/blob/master/Open_Hackathon.md#young-scientist-c
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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