quantum probability is a very specific thing; I agree that it’s an incredibly interesting metaphor, and I also think there’s something to be had there, but I’d caution against applying it too literally without care. the kinds of interference patterns at quantum scale are in fact qualitatively different from the ones at larger spatial scales under most conditions.
neural networks are not usually complex valued, for starters. and not because it hasn’t been tried.
anything processing complex valued phenomena or modeling reality in high enough resolution that the network should learn small-scale complex valued patterns; so, chemistry, fluid waves eg sound, electricity, etc. some very solid results: https://arxivxplorer.com/?query=complex+valued+neural+networks
quantum probability is a very specific thing; I agree that it’s an incredibly interesting metaphor, and I also think there’s something to be had there, but I’d caution against applying it too literally without care. the kinds of interference patterns at quantum scale are in fact qualitatively different from the ones at larger spatial scales under most conditions.
neural networks are not usually complex valued, for starters. and not because it hasn’t been tried.
Which areas of neural network would fit under the complex number paradigm?
anything processing complex valued phenomena or modeling reality in high enough resolution that the network should learn small-scale complex valued patterns; so, chemistry, fluid waves eg sound, electricity, etc. some very solid results: https://arxivxplorer.com/?query=complex+valued+neural+networks