Practical QC for Scientists 2022.02.24
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Hands-on session 7¶

Session Recording¶

Lab book¶

Jupyter notebook

  • Training and evaluating quantum kernels
    • What are kernel methods?
    • A toy problem
    • Defining a Quantum Embedding Kernel
    • Using the Quantum Embedding Kernel for predictions
    • Training the Quantum Embedding Kernel
  • How to approximate a classical kernel with a quantum computer
    • Kernel-based Machine Learning
    • Shift-invariant kernels
    • Warm up: Implementing the Gaussian kernel
    • Fourier analysis of the Gaussian kernel
    • Designing a suitable QK
    • Computing the QK function on a quantum device
    • How to find the amplitudes emulating a Gaussian kernel
    • Finding the solution
    • Visualizing the solution
  • Kernel-based training of quantum models with scikit-learn
    • Background
    • Kernel-based training
    • A similar example using variational training
    • Which method scales best?
  • Send it after class

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