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Keyword: Liouville space Clear all
2 claims from 1 paper
Physics and Astronomy › Quantum many-body systems
Liouville-space neural network representation of density matrices
Kothe and Kirton · Physical Review A · 2024
The authors extend the Restricted Boltzmann Machine to represent density matrices directly in Liouville space, and benchmark it on two versions of the dissipative transverse field Ising model.
Unchecked2 claimsShow 2 claims
- UncheckedA Restricted Boltzmann Machine that directly represents the density matrix in Liouville space can compactly represent states that appear in mean-field theory.“This allows the compact representation of states which appear in mean-field theory.”
- UncheckedOn two versions of the dissipative transverse field Ising model, the authors' new neural-network ansatz is reported to compete with other state-of-the-art approaches.“We benchmark our approach on two different version of the dissipative transverse field Ising model which show our ansatz is able to compete with other state-of-the-art approaches.”
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