Quantum Advantage in Learning from Experiments

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For certain types of problems, quantum computing can provide an exponential speedup for ML algorithms. This is now being tested on actual QC hardware.

This strikes me as particularly concerning for hard take-off scenarios. It’s a possible way to train dramatically larger AI systems faster, and it’s likely to be in use for real problems within the next two decades.