What are possible applications QC is better at than classical computing?
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Currently a CpE grad student taking two classes in QC right now in my master’s program, and I am very interested in thinking about what types of problems quantum computing is best suited for. From what I understand, QC is much better at what classical computers are bad at, such as simulating quantum systems and working with very large state spaces or higher dimensional problems. However, I have also heard that QC is not better at things classical computers are already good at, like simple arithmetic and sequential operations. Right now, I do not have a strong background in quantum physics or quantum mechanics, and most people say that the main thing QC will be good for is quantum simulation. That makes sense to me, but I cannot really recall or pin down what other kinds of problems QC would realistically help with for most people. One area I am unsure about is machine learning. I am wondering if QC could be useful for ML algorithms with a lot of dimensions or parameters, such as training models or performing certain types of regression, or if that idea is mostly theoretical or overhyped. In addition, I am curious to know what kinds of problems you personally would want to use quantum computing for in the future, assuming scalable quantum computers become widely accessible. submitted by /u/chrissolanilla [link] [comments]