Generalization of reduced basis methods to driven-dissipative Markovian quantum systems with variance distillation for phase boundary detection.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
An unsupervised ANN algorithm finds ground states of 1D Ising and Heisenberg models matching exact diagonalization results.
citing papers explorer
-
Reduced Basis Method for Driven-Dissipative Quantum Systems
Generalization of reduced basis methods to driven-dissipative Markovian quantum systems with variance distillation for phase boundary detection.
-
Finding Quantum Many-Body Ground States with Artificial Neural Network
An unsupervised ANN algorithm finds ground states of 1D Ising and Heisenberg models matching exact diagonalization results.