Season 6 | Episode 8: Quantum Neural Networks

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quantum computing, neural networks, machine learning, ai

Featuring::azeem

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azeem, almost 3 years ago

I find the topic to be quite fascinating, and it makes me wonder, can humans compute an entanglement given an input state?

Since we have reasoning and our brains already are quantum neural nets it makes sense that evolution pushed humanity to develop feed forward networks for extrapolation and wisdom, like learning that setting up camp or cooking might attract nearby predators.

The evolution of the ability to use quantum neural nets to extrapolate future timelines based on probabilities is exactly what qubit information processing represents, and knowing that choice A leads to outcome B vs choice C that leads to outcome D allows one to choose a course of action that leads to the best outcome.

What defines an outcome as good is relative to the observer. This is dependent on the training of another neural network, because altruism and selflessness help but one cannot pour from an empty cup, yet greed means one is too busy refilling their own cup and hoarding the water supply to ever go around pouring others.

So ultimately outcomes are determined by intention, and alignment as well as effort influence quantum mechanical outcomes. Intent is an expectation as in Schrodinger's cat, and alignment is making a series of choices using best practices to get a desired outcome. Making other choices would align you with a different outcome.

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