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Physics-informed neural networks and beyond: Enforcing physical constraints in quantum dissipative dynamics
Neural networks (NNs) accelerate simulations of quantum dissipative dynamics. Ensuring
that these simulations adhere to fundamental physical laws is crucial, but has been largely …
that these simulations adhere to fundamental physical laws is crucial, but has been largely …
A purified input-output pseudomode model for structured open quantum systems
A full understanding of open quantum systems requires the characterization of both system
and environmental properties. However, the complexity of the environmental statistics in the …
and environmental properties. However, the complexity of the environmental statistics in the …
Input-Output Hierarchical Equations Of Motion
We derive an extended version of the hierarchical equations of motion (HEOM) to compute
output physical properties of a bosonic environment, which is allowed to be initially prepared …
output physical properties of a bosonic environment, which is allowed to be initially prepared …
Extended dissipaton-equation-of-motion approach to study the electronic migration in adatom-graphene composite
Graphene has garnered significant attention due to its unique properties. Among its many
intriguing characteristics, the tuning effects induced by adsorbed atoms (adatoms) provide …
intriguing characteristics, the tuning effects induced by adsorbed atoms (adatoms) provide …