Quantum Jensen Shannon Divergence Kernel

 Let's start with discussing Quantum Computing and my interests on this subject for its application on Optimization. [1][2]. I assume you have some background using Qiskit. 

The Quantum Jensen Shannon Divergence is quite interesting technique to use for the graph algorithms. I am curious why this is used as a graph kernel at the time I read the paper. However, let's discuss about the basic ideas. rom the paper by Lu Bai and Edwin R. Hancock. the  Quantum Jensen Shannon Divergence is an interesting values used in the Support Vector Machine, and the accuracy for categorization on unattributed data has better performance than many traditional algorithms.