IBM reports results of running a machine learning classifier on two qubits of its "IBM Q" quantum computer. The researchers haven't yet found the "quantum advantage" over classical computing, but are hopeful they're going in the right direction. Is there approach of massive compute enough to dispel deep learning's fascination with hierarchies of representation?
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