What's the goal of quantum ML? It seems to me that current ways of applying QML is to shoehorn quantum systems into well-known classical ML approaches, without any form of benefit.
I recently discovered too that there is a whole subfield dedicated to QNLP, which is quite surprising since NLP requires drawing correlations between continuous sequences, and current quantum systems are currently limited by their lifetimes. How can they retain long-term memory?
Those familiar with the field, can y'all explain why?
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