Quantum error correction can constantly recalibrate a processor
Reinforcement learning uses error information to adjust control algorithms.
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Reinforcement learning uses error information to adjust control algorithms.
But the system would require a massive leap from any of its existing hardware.
Elsewhere, beyond-classical quantum hardware, plus classical computing fires back.
Some quantum computing companies we've covered have done recent progress updates.
Both tools generate hypotheses; one goes on to analyze some of the data.
It's hard to mix electronic manufacturing and flexible geometry.