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Equation 3 · Part 2 · Comparing the Main Approaches to Post-CMOS, Neuromorphic, Photonic, and Quantum AI Compute

Symbol n

m×nm \times n
nn

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

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where the classical algorithm samples from an ℓ2\ell^2 -norm-weighted data structure rather than reading the whole m ×\times n matrix, closing a gap previously measured only against a classical algorithm that read every entry [ 13 ] . The general lesson, sometimes called dequantization, is that an apparent exponential quantum speedup often measures the gap between a quantum algorithm and an unnecessarily weak classical baseline, and the gap can close once someone finds a better classical algorithm.

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