Exact Quantum Stochastic Differential Equations for Reverse Diffusion

• URL: http://arxiv.org/abs/2511.15919v2
• Date: Wed, 26 Nov 2025 03:12:28 GMT
• Title: Exact Quantum Stochastic Differential Equations for Reverse Diffusion
• Authors: Einar Gabbassov,
• Abstract summary: We show that the dynamics of open quantum systems are irreversible.<n>We show that this irreversibility need not hold at the level of individually monitored quantum trajectories.<n>This establishes an analytical framework for noise-resilient quantum gates, quantum tomography via forward-reverse cycles, and potential paradigms for error correction based on reverse diffusion.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The ensemble-averaged dynamics of open quantum systems are typically irreversible. We show that this irreversibility need not hold at the level of individually monitored quantum trajectories. Our main results are quantum stochastic differential equations for reverse diffusion, along with corresponding stochastic master equations. These equations describe the exact and approximate stochastic reverse processes for continuously monitored Pauli channels, including time-dependent depolarizing noise. The exact SDEs admit closed-form solutions that can be implemented online without the need for variational techniques. Importantly, the reverse SDEs and corresponding processes are generalizations of their forward counterparts. One can recover the forward process from its reverse, meaning that the reverse process experiences the same decoherence and noise effects as the forward process. This establishes an analytical framework for noise-resilient quantum gates, quantum tomography via forward-reverse cycles, and potential paradigms for quantum error correction based on reverse diffusion.

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