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arxiv_ml 80% Match Theoretical Research Paper Quantum Physicists,Information Theorists,AI Researchers (especially in generative models),Mathematicians 20 hours ago

Stability of mixed-state phases under weak decoherence

generative-ai › diffusion
📄 Abstract

Abstract: We prove that the Gibbs states of classical, and commuting-Pauli, Hamiltonians are stable under weak local decoherence: i.e., we show that the effect of the decoherence can be locally reversed. In particular, our conclusions apply to finite-temperature equilibrium critical points and ordered low-temperature phases. In these systems the unconditional spatio-temporal correlations are long-range, and local (e.g., Metropolis) dynamics exhibits critical slowing down. Nevertheless, our results imply the existence of local "decoders" that undo the decoherence, when the decoherence strength is below a critical value. An implication of these results is that thermally stable quantum memories have a threshold against decoherence that remains nonzero as one approaches the critical temperature. Analogously, in diffusion models, stability of data distributions implies the existence of computationally-efficent local denoisers in the late-time generation dynamics.

Key Contributions

This paper proves that Gibbs states of classical and commuting-Pauli Hamiltonians are stable under weak local decoherence, meaning their effect can be locally reversed. This implies thermally stable quantum memories have a non-zero threshold against decoherence near critical temperatures, and conceptually links to efficient local denoisers in diffusion models.

Business Value

Fundamental insights for building robust quantum memories and potentially inspires new approaches in generative AI by highlighting the stability of generative processes under noise.