Kernel Methods

Solve non-linear problems. Similarity measures between two data points. Moves point to different spaces in different dimensions. eg. Support Vector Machine, K-means Clustering. Work in feature space, not in data space. Encode data into feature space. Convert non-linearity to linear model. Good Resources: https://www.youtube.com/watch?v=uDAAi5aQbMU

Mathematical notations and objects used in describing quantum computers.

Notes from https://learn.qiskit.org/course/introduction/describing-quantum-computers Amplitudes – Different from classical probability since it also has direction.– Represented by Complex Number State Vectors – Vectors that describe the state of qubits Vector multiplication and addition to representing Superposition
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