Today, Google published the following paper:

TensorFlow Quantum: A Software Framework for Quantum Machine Learning, 

TensorFlow Quantum is software for doing Quantum Bayesian Networks. QB nets have been a dream of mine for 24 years, although Google's paper, despite having 20 authors and 129 references, never cites any of my work. When I first had the idea of Quantum Bayesian Networks, I thought it was such a cool idea that, within a span of a year, I published a paper, filed for a patent and wrote a computer program called Quantum Fog about it (The original Quantum Fog was for the Mac. It was written in C++, with the GUI written using a C++ class library called PowerPlant. Much later, I re-wrote Quantum Fog in Python and released it as open source at github).

It was the first paper I ever posted on arXiv, and the first patent I ever filed, and the first and last :) Macintosh program I ever wrote. The patent expired on 2016-01-11, but Google Tensorflow was first released to the public on Nov 2015, so maybe I can sue them for 5 bucks? :)

My blog, now 12 years old, is called Quantum Bayesian Networks for a reason: my intense passion and belief in this dream of mine.

Note that Tensorflow Quantum is a Tensorflow implementation of an earlier Google software called TensorNetwork. I am glad that they are now calling it Tensorflow instead of TensorNetwork. The word TensorNetwork implies an undirected graph whereas the word TensorFlow implies an acyclic directed graph (DAG). I wrote an earlier post about Google's TensorNetwork software

Google's TensorNetwork software versus Quantum Bayesian Networks

Screen shots of Mac Application Quantum Fog, first released about 20 years ago:

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Tags: Bayesian, Computing, Networks, Quantum, dsc_graph, dsc_ml, dsc_tagged


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Comment by Yerko Pincheira Sánchez on March 13, 2020 at 4:21am

It is not enough to be the first, it is also necessary to be the best.
You can beat Google!

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