Search Results for author:
Found 4 papers, 2 papers with code
Machine learning with tree tensor networks, CP rank constraints, and tensor dropout
As suggested in [arXiv:2205. 15296] in the context of quantum many-body physics, computation costs can be further substantially reduced by imposing constraints on the canonical polyadic (CP) rank of the tensors in such networks.
Super-operator structures and no-go theorems for dissipative quantum phase transitions
In the thermodynamic limit, the steady states of open quantum many-body systems can undergo nonequilibrium phase transitions due to a competition between coherent and driven-dissipative dynamics.
Quantum Physics Quantum Gases
Precise evaluation of thermal response functions by optimized density matrix renormalization group schemes
This paper provides a study and discussion of earlier as well as novel more efficient schemes for the precise evaluation of finite-temperature response functions of strongly correlated quantum systems in the framework of the time-dependent density matrix renormalization group (tDMRG).
Quantum Physics Strongly Correlated Electrons
Spectral functions in one-dimensional quantum systems at T>0
We present for the first time time-dependent density-matrix renormalization-group simulations (t-DMRG) at finite temperatures.
Strongly Correlated Electrons
