Who needs qubits? Factoring algorithm run on a probabilistic computer

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The discussion centers on the implementation of a factoring algorithm on a probabilistic computer, highlighting the use of conventional electronics to simulate quantum computing capabilities. The article referenced illustrates how a neural network was constructed using traditional computing methods for deep learning feedback and synapse adjustment, raising concerns about the scalability of such approaches compared to true quantum systems. Participants express skepticism regarding the effectiveness of this method, labeling it as "cheating" due to its reliance on non-quantum components.

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We have a similar kind of device at work that allows one to pretend they have a quantum computer but everything is done with discrete electronics and some magic or is that MAGIC and some discrete electronics.
 
Thanks for sharing. It gets to a question I asked long ago on PF,
https://www.physicsforums.com/threads/making-a-quantum-computer-do-shors-algorithm.873585/
I never got an answer to that but this article does show how they did it. It appears that they made a neural net using conventional computers for the deep learning feedback and synapse adjustment. That's cheating because the conventional part won't scale with quantum speed.

https://www.nature.com/articles/s41586-019-1557-9/figures/5
1568893450490.png
 

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