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Summing these squared errors over k = 1,

(D18) Each single-step recovery error is controlled by the drop in the local CMI over that step: eRS δt(Fδt(ρ)) − ρ 2 1 ≤ 2 ln 2 h Iρ(A : C | B) − IFδt(ρ)(A : C | B) i , (D19) for

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Measurement-Based Quantum Diffusion Models

quant-ph · 2025-08-12 · unverdicted · novelty 7.0

Measurement-based quantum diffusion models are introduced to recover pure and mixed quantum states via weak measurements, quantum score matching, and Petz recovery maps with error bounds, bridging to classical stochastic reversals.

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  • Measurement-Based Quantum Diffusion Models quant-ph · 2025-08-12 · unverdicted · none · ref 60

    Measurement-based quantum diffusion models are introduced to recover pure and mixed quantum states via weak measurements, quantum score matching, and Petz recovery maps with error bounds, bridging to classical stochastic reversals.