QCBM Tutorial

[Gopal-Dahale]

Title: Quantum Circuit Born Machines Summary: Introduces the ideas of Quantum Circuit Born Machines (QCBMs) along with its gradient-based training. Applies QCBM to learn bars and stripes and two peaks dataset. Relevant references:

Differentiable Learning of Quantum Circuit Born Machine

Possible Drawbacks:

Related GitHub Issues:

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If you are writing a demonstration, please answer these questions to facilitate the marketing process.

• GOALS — Why are we working on this now?: The purpose is to use PennyLane to implement a popular algorithm in unsupervised generative modelling based on the paper "Differentiable Learning of Quantum Circuit Born Machine".

• AUDIENCE — Who is this for?: The demo provides a gentle introduction to QCBMs, making it suitable for beginners. It also targets individuals interested in generative modelling with quantum algorithms.

• KEYWORDS — What words should be included in the marketing post?: QCBM, QML, MMD, Gradient-based Optimization

• Which of the following types of documentation is most similar to your file? (more details here)

• [ ] Tutorial

• [x] Demo

• [ ] How-to

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Deployment Info:

• Pull Request ID: 1053
• Deployment SHA: 59d04e85169384d9b8502569ad4ad5c9decd608d (The Deployment SHA refers to the latest commit hash the docs were built from)

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[KetpuntoG]

Hello! Good job here @Gopal-Dahale !
Is it ready for us to review? We are short of time during these next two weeks but we will get to it as soon as we can 💪

[Gopal-Dahale]

@KetpuntoG Yes it is ready for review.

[Gopal-Dahale]

I will talk to our designer to create the thumbnail. Do you have any suggestions on how it should look like?

Maybe a quantum circuit outputting a probability distribution. something similar to the quantum gan thumbnail. This is just a suggestion. I think PennyLane's design team is already well-versed and creative 😅.

[KetpuntoG]

Great job! Once I update the thumbnail, it's ready to publish 😄 I'll talk to Marketing to see if we can find a slot for mid-May. Congratulations on your contribution! 🚀

[Gopal-Dahale]

Thank you @KetpuntoG. @KetpuntoG and @alvaro-at-xanadu there are a few conversations which are yet to be resolved. Can you take a look at them? I have left some comments.

[KetpuntoG]

I spoke with marketing and the demo will be released in mid-May, thanks!

[Gopal-Dahale]

@alvaro-at-xanadu what do you think?