The Kernel Quantum Probabilities (KQP) Library
Benjamin Piwowarski
TL;DR
This paper introduces the Kernel Quantum Probabilities (KQP) library, providing methods to compute quantum probabilities using kernel techniques, forming the foundation for an open-source implementation.
Contribution
It presents a comprehensive approach to compute kernel quantum probabilities, enabling practical implementation through the KQP open source library.
Findings
Provides algorithms for kernel quantum probability computations
Establishes a foundation for the KQP open source project
Facilitates future research in quantum probability applications
Abstract
In this document, we show how the different quantities necessary to compute kernel quantum probabilities can be computed. This document form the basis of the implementation of the Kernel Quantum Probability (KQP) open source project
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Taxonomy
TopicsQuantum Mechanics and Applications · Statistical Mechanics and Entropy · Gaussian Processes and Bayesian Inference