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I will only answer to the part of the question regarding how quantum mechanics can be useful for analysis of classical data via machine learning. There are also works related to "quantum AI", but that is a much more speculative (and less defined) kind of thing, which I do not want to go into. So, can quantum computers be used to speed-up data analysis via ...


7

Much of the research on quantum algorithms that may have applications to AI is centered on quantum machine learning (QML). While I'd argue there are quite a few hypothetical reasons that QML could be used in machine learning some time in the future, QML research is in its infancy relative to classical machine learning research and its practical benefits ...


6

There are arguments that our brains are quantum mechanical, and arguments against, so that's a hotly debated topic. Fisher at UCSB has some speculative thinking about how brains might still use quantum effects even though they aren't quantum mechanical in nature. While there's no direct experimental evidence there are two references you might want to read: ...


5

Much of the work done so far with quantum computers has been focused on solving combinatorial optimization problems. Both D-Wave style Quantum Annealers and the more recent Gate Model machines from Rigetti, IBM, and Google have been solving combinatorial optimization problems. One promising approach to connecting machine learning and quantum computing ...


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