# Quantum Computing Concepts and Implementation in Python

**URL:** <https://discuss.ai.google.dev/t/quantum-computing-concepts-and-implementation-in-python/26835>\
**Category:** Show and Tell\
**Created:** [October 20, 2022, 7:50pm UTC](https://discuss.ai.google.dev/t/quantum-computing-concepts-and-implementation-in-python/26835 "2022-10-20T19:50:22Z")\
**Posts on this page:** 5\
**Page:** 1

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**Author:** ![Rohit\_Narain](https://d1dlmcr85iqnpo.cloudfront.net/user_avatar/discuss.ai.google.dev/rohit_narain/32/13022_2.png) [@Rohit\_Narain](https://discuss.ai.google.dev/u/Rohit_Narain)\
**Post date:** [October 20, 2022, 7:50pm UTC](https://discuss.ai.google.dev/t/quantum-computing-concepts-and-implementation-in-python/26835/1 "2022-10-20T19:50:23Z")

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Hi,  
I would like to show you one of my research blog which is recently published on Medium about " **Quantum Computing Concepts and Implementation in Python**". In this blog I have explained the basics of Quantum computing, how quantum computing principles change our existing neural network performance, basic libraries that we can use to implement the Quantum Neural Network and then I have discussed the implementation of **QNN on MNIST dataset**.  
**The blog is available here :** [Quantum Computing Concepts and Implementation in Python](https://www.datatobiz.com/blog/quantum-computing-concepts-and-implementation-in-python/)

It is suitable for those who want to learn basics of Quantum computing in depth. Hope it will be helpful for all.  
Thanks

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**Author:** ![lgusm](https://d1dlmcr85iqnpo.cloudfront.net/user_avatar/discuss.ai.google.dev/lgusm/32/6230_2.png) [@lgusm](https://discuss.ai.google.dev/u/lgusm)\
**Post date:** [October 21, 2022, 12:18pm UTC](https://discuss.ai.google.dev/t/quantum-computing-concepts-and-implementation-in-python/26835/2 "2022-10-21T12:18:00Z")

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Given the audience here (TensorFlow users), I think your post would have more engagement if you had sample code using TensorFlow Quantum for example

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<div class="post-metadata">

**Author:** ![Rohit\_Narain](https://d1dlmcr85iqnpo.cloudfront.net/user_avatar/discuss.ai.google.dev/rohit_narain/32/13022_2.png) [@Rohit\_Narain](https://discuss.ai.google.dev/u/Rohit_Narain)\
**Post date:** [October 21, 2022, 12:29pm UTC](https://discuss.ai.google.dev/t/quantum-computing-concepts-and-implementation-in-python/26835/3 "2022-10-21T12:29:53Z")

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Sure Igsum, I am next working to implement the QNN using Tensorflow Quantum. I have just a Question… How to save and inference Tensorflow Quantum model? Can you please help me in this.

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<div class="post-metadata">

**Author:** ![lgusm](https://d1dlmcr85iqnpo.cloudfront.net/user_avatar/discuss.ai.google.dev/lgusm/32/6230_2.png) [@lgusm](https://discuss.ai.google.dev/u/lgusm)\
**Post date:** [October 23, 2022, 5:12pm UTC](https://discuss.ai.google.dev/t/quantum-computing-concepts-and-implementation-in-python/26835/4 "2022-10-23T17:12:19Z")

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Sorry, I don’t know much about TF Quantum

I’d start from the main documentation:

> **[hola muchos mundos  |  TensorFlow Quantum](https://www.tensorflow.org/quantum/tutorials/hello_many_worlds?hl=es-419)**

and

> **[clasificación MNIST  |  TensorFlow Quantum](https://www.tensorflow.org/quantum/tutorials/mnist?hl=es-419)**

for save and inference, I’d first try the default Keras API with the save method and the predict method  
but again, this is just a guess as I never studied this library myself

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<div class="post-metadata">

**Author:** ![Rohit\_Narain](https://d1dlmcr85iqnpo.cloudfront.net/user_avatar/discuss.ai.google.dev/rohit_narain/32/13022_2.png) [@Rohit\_Narain](https://discuss.ai.google.dev/u/Rohit_Narain)\
**Post date:** [October 23, 2022, 5:25pm UTC](https://discuss.ai.google.dev/t/quantum-computing-concepts-and-implementation-in-python/26835/5 "2022-10-23T17:25:14Z")

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Sure thanks Igsum … I will also try with these documentation first then will see how we can implement in text classification model…