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Who needs qubits? Factoring algorithm run on a probabilistic computer
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A recent article discusses the implementation of a factoring algorithm on a probabilistic computer, demonstrating that it can mimic quantum computing capabilities without actually using qubits. This approach utilizes conventional electronics and deep learning techniques to simulate quantum behavior, raising questions about the scalability of such methods compared to true quantum systems. The article highlights the use of neural networks for feedback and synapse adjustment, suggesting that relying on classical components may undermine the potential speed advantages of quantum computing. The discussion emphasizes the distinction between true quantum computing and probabilistic simulations, pointing to the limitations of current technologies in achieving genuine quantum speedup.
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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.
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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
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
I've been experimenting with ChatGPT. Some results are good, some very very bad. I think examples can help expose the properties of this AI. Maybe you can post some of your favorite examples and tell us what they reveal about the properties of this AI.
(I had problems with copy/paste of text and formatting, so I'm posting my examples as screen shots.
That is a promising start. :smile:
But then I provided values V=1, R1=1, R2=2, R3=3 and asked for the value of I. At first, it said...
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