QPanda3
0.1.0
Supported by OriginQ
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In the current version, QPanda3 provides tools for calculating the Hellinger distance, Hellinger divergence, and KL divergence.
In the quantum field, Hellinger Distance is mainly used to measure the similarity between two probability distributions. This concept originated from probability statistics and information theory and is widely used in machine learning.
Hellinger fidelity, also known as Hellinger distance-based fidelity, is a measure of the similarity between two probability distributions.
The KL divergence in the quantum domain is an important concept used to measure the difference or information loss between two quantum probability distributions.