This repository contains the materials for the "Introduction to Quantum Classification" lab presented at Spring 2020 MLADS Conference. In this lab you will experiment with a simple circuit-centric quantum classifier using the Microsoft Quantum Development Kit.
Running the Lab
You can run the lab online on Binder.
Running this lab on Binder is very slow, so if you prefer to run the lab online we recommend you to read through the notebook using saved cell outputs before attempting to run the cells.
After that you can run the tutorial locally by navigating to the
QuantumClassification folder and starting the notebook from command line using the following command:
jupyter notebook ExploringQuantumClassificationLibrary.ipynb
The Q# project in this folder contains the back-end of the tutorial and is not designed for direct use.
Here are some resources to get you started:
- Install Microsoft Quantum Development Kit and Q# Jupyter Notebooks
- Learn the basics of quantum computing and Q# using the Quantum Katas
- Check out Microsoft Quantum documentation, in particular introduction to quantum machine learning
- 'Circuit-centric quantum classifiers', by Maria Schuld, Alex Bocharov, Krysta Svore and Nathan Wiebe describes the original proposal behind this type of classifiers.
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