PINN-DQME uses time-encoded neural networks to simulate open quantum system evolution with high accuracy at high temperatures but accumulates errors in strongly non-Markovian low-temperature regimes.
Hierarchical Liouville-Space Approach for Ac- curate and Universal Characterization of Quantum Im- purity Systems
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
quant-ph 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Simulating non-Markovian open quantum dynamics by exploiting physics-informed neural network
PINN-DQME uses time-encoded neural networks to simulate open quantum system evolution with high accuracy at high temperatures but accumulates errors in strongly non-Markovian low-temperature regimes.