AI RESEARCH
Simulating Non-Markovian Open Quantum Dynamics with Neural Quantum States
arXiv CS.LG
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ArXi:2404.11093v4 Announce Type: replace-cross Reducing computational scaling for simulating non-Markovian dissipative dynamics using artificial neural networks is both a major focus and formidable challenge in open quantum systems. To enable neural quantum states (NQSs), we encode environmental memory in dissipatons (quasiparticles with characteristic lifetimes), yielding the dissipaton-embedded quantum master equation (DQME). The resulting NQS-DQME framework achieves compact representation of many-body correlations and non-Markovian memory.