Preprint
Aug 2026
Scalable Lindblad Noise Learning via Stochastic Tensor-Network Simulation
A scalable noise-learning framework for Lindblad dissipation rates that combines a stochastic simulation method, the Tensor Jump Method (TJM), with gradient-free optimization of a least-squares cost-function defined on time series of local-observable expectation values is proposed.
A. R. Ramos Ramos, Maximilian Fröhlich, Aaron Sander et al.
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