Error rate and compatibility

Hello, I would like to know the error rate of Borealis and if it’s compatible with classical ML frameworks such as Pytorch and Tensorflow

Hi @Lucas_Caetano, welcome to the forum!

Borealis is not compatible with classical ML frameworks. It’s designed for Gaussian Boson Sampling, so you can’t make any program with it. Error rate is also a concept that doesn’t really apply for Borealis. It does have errors but you don’t really talk about a rate.

If you’re interested in learning more about Borealis there are a lot of resources that you can explore such as the following:

If you’re interested in Quantum Machine Learning I encourage you to check out this blog on how to start learning quantum machine learning. Be sure to get to the end, where we have a full example in PennyLane. If you want to do a deeper dive into quantum computing the Xanadu Quantum Codebook is a great resource.

You can also find a lot of tutorials on the PennyLane website in the QML section, and PennyLane tutorial videos in the Xanadu YouTube.

I hope you enjoy our content and come back with more questions!