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quant-ph2025★ 2 cited
Overcoming the entanglement barrier with sampled tensor networks
Stefano Carignano, Guglielmo Lami, Jacopo De Nardis +1
The rapid growth of entanglement under unitary time evolution is the primary bottleneck for modern tensor-network techniques--such as Matrix Product States (MPS)--when computing ti…
quant-ph2025
Spatio-temporal tensor-network approaches to out-of-equilibrium dynamics bridging open and closed systems
Sergio Cerezo-Roquebrún, Aleix Bou-Comas, Jan T. Schneider +3
The study of many-body quantum systems out of equilibrium remains a significant challenge with complexity barriers arising in both state and operator-based representations. In this…