Rank-adaptive tensor decompositions enable memory-efficient dynamical simulations of Schrödinger's equation by compressing partially entangled quantum states while controlling truncation error via SVD thresholds.
Kraus is king: High-order completely positive and trace preserv- ing (CPTP) low rank method for the Lindblad master equation.Journal of Computational Physics, 534:114036
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Dynamical Simulations of Schr\"odinger's Equation via Rank-Adaptive Tensor Decompositions
Rank-adaptive tensor decompositions enable memory-efficient dynamical simulations of Schrödinger's equation by compressing partially entangled quantum states while controlling truncation error via SVD thresholds.