Quantum ML Algorithms Historical Perspective PDF 7/31/23.
Synopsis: An early paper to learn Quantum ML basics, as well as some of the common
quantum models being researched.
- Emerging Quantum ML Models
A) Quantum Support Vector Machine
a) Evaluation of an inner product is better on a quantum computer
B) Quantum K-Nearest Neighbor Methods
a) Efficient calculation of classical distances with quantum computer
C) K-Means Quantum Clustering
a) Several full quantum routines for clustering are available
D) Quantum Decision Trees
a) Quantum feature states encode n features into quantum system
E) Quantum State Classification with Bayesian Methods
a) Reformulation in the language of open quantum systems
F) Hidden Quantum Markov Models
a) Contain classical models and richer generalization dynamics
G) Quantum Neural Networks
a) Quantum dots; adiabatic computing; hopfield networks; fuzzy ff