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qiskit-community / qiskit-hackathon-korea-21

A repository for Qiskit Hackathon Korea (February 16-19, 2021)
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Exploring Hybrid quantum-classical Neural Networks with PyTorch and Qiskit #12

Open kifumi opened 3 years ago

kifumi commented 3 years ago

Abstract

Let's try and explore Hybrid quantum-classical Neural Networks with PyTorch and Qiskit: https://qiskit.org/textbook/ch-machine-learning/machine-learning-qiskit-pytorch.html

Examples:

Description

There is various method to integrate quantum computing and Machine Learning. We can learn the relatively simple way using PyTorch and Qiskit on Qiskit Textbook. Its quantum portion is very limited but we might start from adding quantum layer to classify the numbers other than 0 and 1 to improve it.

For demonstration purposes, it would be a good way to advertise quantum machine learning if we can create an application that can classify the numbers written with the mouse in real time.

Members

Deliverable

https://he-s3.s3.amazonaws.com/media/sprint/qiskit-hackathon-korea/team/964302/7dedd10qiskit_hackathon__12.pdf

GitHub repo

https://github.com/yh08037/quantum-neural-network

yh08037 commented 3 years ago

@kifumi Thank you for accepting our team! Our Slack usernames : github ids are as follows.

Eunchan Lee : purang2 Dohun Kim : yh08037 Daeheon Yoon : Greathoney Kwon Yoon : vhapfks

Jaehoon-zx commented 3 years ago

Hi, I am interested in this topic and look forward to contribute to the project. Can I join the team?

yunseo-kim commented 3 years ago

I'm very interested in this topic! I want to contribute to this project. Can I join in?

kifumi commented 3 years ago

Hi, everyone. Thank you for your interest. There are good examples of code using different quantum tools like TensorFlow quantum and Pennylane:
https://www.tensorflow.org/quantum/tutorials/mnist https://pennylane.ai/qml/demos/tutorial_quanvolution.html How about rewriting these code to qiskit + pytorch?