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: