alexgcsa/incob2023

Quantum Machine Learning - InCoB 2023

by @alexgcsa and @proteinmechanic

Main Colab Notebook

The main material can be accessed via Google Colab Notebook:

• Understanding Support Vector Classifier (SVC)

Extra Colab Notebooks

The extra material can be accessed via Google Colab Notebooks:

• Iris Classification Colab
• Disease Classification Colab - Part 1
• Disease Classification Colab - Part 2

Local installation

Alternatively, if you want to run it locally, we suggest you use Anaconda (or Miniconda) to manage a virtual environment and install dependencies.

First, create an environment with the following command:

$ conda create -n incob_qml

Then, install dependencies via pip:

$ conda activate incob_qml

$ conda install python=3.10

$ pip install -r requirements.txt

If you need to run under this environment at any time, use the following commands to activate it and open the notebook:

$ conda activate incob_qml

$ jupyter lab

OR

$ conda activate incob_qml

$ jupyter lab --ip=127.0.0.1 --port=8888