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Equation 15 · Part 1 · From Origins to Frontier: A History of Post-CMOS, Neuromorphic, Photonic, and Quantum AI Compute

Symbol varepsilon

ε>0\varepsilon > 0
ε\varepsilon

What this part means

varepsilon is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

Its job in the formula

varepsilon is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

The passage around this formula

which decays exponentially in circuit depth for any fixed error rate ε\varepsilon > 0 . This is precisely the noise floor Preskill’s paper is about, and it is why serious NISQ-era quantum machine learning proposals are built around short, shallow circuits matched to a specific problem rather than long, general-purpose programs — the strategy quantum computing borrowed, whether its practitioners framed it this way or not, from the same lesson optical computing learned two decades earlier: work within what the noisy substrate actually does well, rather than against it.

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