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Quantum machine learning for data scientists

Hello! This tutorial will be given by Bryce Fuller and Christa Zoufal of IBM Quantum. Bryce and Christa will both give parts of the presentations as well as walk you through code examples.

In this folder you will find the notebooks we will use for the coding component of each session. Please download them and upload them to your IQX account, using the directions in this document.

The schedule for this tutorial is as follows. (NOTE: All times are US Mountain Daylight Time, UTC-6.)

Session 1 (1045 - 1215): Introduction to Quantum Machine Learning with Variational Quantum Circuits

  • 1045 - 1145: Talk

    • Classical Feed-forward Neural Networks
    • Variational Quantum Circuits
    • Quantum Generative Adversarial Networks

  • 1145 - 1215: Live Session

    • Hands on Coding
    • Q & A

Session 2 (1300 - 1430): Quantum Kernels

  • 1300 - 1400: Talk

    • Classical Support Vector Machines
    • Quantum Kernel Estimators
    • Quantum Feature Map Research

  • 1400 - 1430: Live Session

    • Hands on Coding
    • Q & A

Session 3 (1515 - 1645): Variational Quantum Boltzmann Machines

  • 1515 - 1615: Talk

    • Boltzmann Machines
    • Quantum Boltzmann Machines
    • Variational Quantum Boltzmann Machines

  • 1615 - 1645: Live Session

    • Hands on Coding
    • Q & A