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Then, at each center of the square, one can estimate the Wigner function valueW ρ(cj) by measuring displaced parity

Dense sampling A straightforward way to approximately reconstruct the Wigner function of an unknown state over a finite region Ω over the phase space is to first discretize the reg

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Learning to Reconstruct Wigner Functions in Phase Space

quant-ph · 2026-07-07 · conditional · novelty 6.0

Two machine learning models reconstruct continuous Wigner functions from sparse phase-space measurements: a provably efficient regression model for sparse states (O(s⁴ log d) samples) and a self-supervised neural network for general states including experimental GKP code data.

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  • Learning to Reconstruct Wigner Functions in Phase Space quant-ph · 2026-07-07 · conditional · none · ref 8

    Two machine learning models reconstruct continuous Wigner functions from sparse phase-space measurements: a provably efficient regression model for sparse states (O(s⁴ log d) samples) and a self-supervised neural network for general states including experimental GKP code data.