[AWS Power Up]Image segmentation by QML and Grover algorithm.

BrightSky77 commented 2 years ago

1. Team Name

Voyager

2. Project Description

This project is a further study of Saesun Kim's research on applying QML in image classification (https://github.com/bagmk/Quantum_Machine_Learning_Express) We are going to detect the animal in infrared camera and the car object in night camera by using QML and Grover algorithm. After that , we are planning to compare the accuracy of detecting objects between those 2 methods. Our goal is to apply QML and Grover algorithm, which was usually dealt only in theory, in practical fields like image segmentation and find the optimal method.

3. Source Code

https://github.com/BrightSky77/Qhack_Quantum_Machine_Learning

4. Resource Estimate:

By having access to AWS credits, we will be able to use more qubits so that we can process more big size images.

BrightSky77 commented 2 years ago

We already have team so we won't accept new members.

co9olguy commented 2 years ago

Thanks @BrightSky77 !

The deadline for Power Ups isn't until Wednesday, and final submissions isn't until Friday, so feel free to update your project/submission as you like before these deadlines

BrightSky77 commented 2 years ago

Hello @co9olguy What do you mean by Power Ups? And does my team has to leave comments to be assigned to this project?

isaacdevlugt commented 2 years ago

Hey @BrightSky77, all information regarding Power Ups can be found here: https://github.com/XanaduAI/QHack#power-ups

isaacdevlugt commented 2 years ago

Please make sure to specify which power up you are applying for by labelling this issue. If you want to apply for both, please make a separate submission with the appropriate tag.

BrightSky77 commented 2 years ago

Hello @isaacdevlugt I made an new issue for power up. It's an issue #66. How do I delete this issue #9?

XanaduAI / QHack2022