Neural networks with deep learning and digital quantum computing are opening up new worlds in computing. Analog quantum computing, exploiting time-symmetric physics, offers even more new worlds, in more fields of technology, but we can only attain those worlds if we firmly understand the underlying physics and develop design simulation packages which embody that new understanding. We can only do that by first performing relatively simple experiments which tell us how our basic device components actually work under new circumstances, more general and more weird than the limited regimes of classical and digital quantum computing. We can never truly understand or use the full powers of our own minds until we understand these principles.
-- Thanks to Thomas for eliciting a much-needed short summary....
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