Learn about Quantum Kernels in this comprehensive AI & Artificial Intelligence tutorial. Beyond classical similarity.
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By mapping data into the exponential dimensions of a Hilbert space, we can often find linear separations for data that appears tangled in classical space.
The 'Quantum Kernel Estimation' method allows us to use a quantum computer as a specialized feature extractor, while leaving the heavy optimization to classical SVM solvers.
Pascual Vila
Frontend Instructor // Code Syllabus
A high-dimensional vector space.
// Hilbert Space contextA function that maps input to a higher dimension.
// Feature Map contextA measure of similarity between vectors.
// Inner Product contextQuantum Generative Adversarial Networks
Quantum Neural Networks QNN
Qubits And Superposition
Simulating Quantum Circuits
Capstone Building A Quantum Classifier
Challenges In Quantum Hardware