qiskit-community / qiskit-camp-asia-19

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Basic Quantum Neural Networks #42

Open tambunanTop opened 4 years ago

tambunanTop commented 4 years ago

Abstract

Are neural networks applied to quantum computing? to do classification, or other things. This project aims to try the basic concepts of complex neural networks in quantum computing using Qiskit. "Complex" that used in this project is a complex number i. This complex neural network can learn multi-value input/output.

Description

A classical neuron can learn only linearly-separable input/output mappings and cannot learn nonlinear separable input/output mappings (Minsky-Papert, 1969 – a classical limitation).

image

In the use of complex planes the use of magnitude and phase will be used to determine the weight and activation function. This approach will be used for implementation on Qiskit. Let's try Hack!

Reference:

Members

People who want to learn about quantum computing, neural network, or python, or qiskit, etc.

Deliverable

Build a basic Quantum Circuit for implementation of quantum neural networks, using Qiskit

GitHub repo

soon

Our Presentation

image slide-QiskitAsia2019-issue42.pdf Enjoy it! 😊

YutoMorohoshi commented 4 years ago

Seems interesting.

I'm in, Yuto Takaki. interested in physics. 1st in masters course.

Tanutk commented 4 years ago

I am interested. I am Tanut Karnwai (Computer Scientist).

hafizhkarim commented 4 years ago

Join

YutoMorohoshi commented 4 years ago

Where is a leader?

YudNK commented 4 years ago

I'm interested in! Physics and elementary Quantum computation.

diego-plan9 commented 4 years ago

@hafizhkarim and @yudnk can you post your full name, for easier assigning?

trichdop commented 4 years ago

Hi, I am Chii-Chang Chen. I am professor from the Department of Optics and Photonics, National Central University, Taiwan. I have experience of Machine Learning. I am interested in joining your team.

YudNK commented 4 years ago

https://github.com/YudNK/quantum_neural_network