Hands-on session 7¶
Session Recording¶
Lab book¶
- Training and evaluating quantum kernels
- 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
- Send it after class