Strategic incompetence with classical tools leads to salary bonuses in the QC 
world.

On Sep 25, 2025, at 2:19 PM, Jon Zingale <[email protected]> wrote:


"Either than or the noise is a regularization, and they aren’t getting a 
quantum benefit but more like a dropout boost."

Ha. I knew I posted to the right channel. I wouldn't have been able to catch 
that, though I would have imagined various classical regularization parameter 
sweeps would have been part of the fine-tuning of their null model. I'm still 
trying to wrap my head around what the quantum data transform is supposed to 
buy, is it effectively a preprocessor for a classical learning model?
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