14

I will only answer to the part of the question regarding how quantum mechanics can be useful to analyse classical data with machine-learning-like techniques. 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 ...


7

In my view, if artificial general intelligence (AGI) is ever 'solved', it likely won't be because of the development of a quantum AI algorithm. Rather, it will be because of a breakthrough in the training of existing classical algorithms. That said, much like in the classical case (i.e. classical machine learning), research on quantum algorithms with ...


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

Nonlocal games such as the CHSH game are not impartial games in the sense of Sprague-Grundy. Alice and Bob are thought to be cooperating rather than competing, and randomness is central to the study of nonlocal games. Impartial games are competitive, deterministic, and perfect information. A good sanity check when asking about quantizing some classical ...


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 ...


2

It is relevant to consider the following research paper from Mashiko Fukiyama on Nim Game on Graph to come up with an algorithmic approach . At first, to set a starting position of the game, we fix some finite undirected graph and assign to each edge a non-negative integer. Further we take one piece and put it at a vertex of the graph. From this given ...


1

this is Catalina from Xanadu. You will often see the comparison between classical and quantum machine learning in papers. The way quantum machine learning works is that you have a quantum computer which runs the quantum part of your algorithm and a classical computer which runs the classical part of your algorithm. Depending on your algorithm you will use ...


1

I am afraid that under current state of development, quantum computers cannot be massively deployed in finance industry. However, the area is developing rapidly. You can find some overview of possible quantum computers application in finance here: https://www.sciencedirect.com/science/article/pii/S2405428318300571


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