Details
| Original language | English |
|---|---|
| Article number | 1291 |
| Journal | Nature Communications |
| Volume | 8 |
| Publication status | Published - 3 Nov 2017 |
Abstract
Understanding dissipation in 2D quantum many-body systems is an open challenge which has proven remarkably difficult. Here we show how numerical simulations for this problem are possible by means of a tensor network algorithm that approximates steady states of 2D quantum lattice dissipative systems in the thermodynamic limit. Our method is based on the intuition that strong dissipation kills quantum entanglement before it gets too large to handle. We test its validity by simulating a dissipative quantum Ising model, relevant for dissipative systems of interacting Rydberg atoms, and benchmark our simulations with a variational algorithm based on product and correlated states. Our results support the existence of a first order transition in this model, with no bistable region. We also simulate a dissipative spin 1/2 XYZ model, showing that there is no re-entrance of the ferromagnetic phase. Our method enables the computation of steady states in 2D quantum lattice systems.
ASJC Scopus subject areas
- Chemistry(all)
- General Chemistry
- Biochemistry, Genetics and Molecular Biology(all)
- General Biochemistry,Genetics and Molecular Biology
- Physics and Astronomy(all)
- General Physics and Astronomy
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Nature Communications, Vol. 8, 1291, 03.11.2017.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - A simple tensor network algorithm for two-dimensional steady states
AU - Kshetrimayum, Augustine
AU - Weimer, Hendrik
AU - Orús, Román
N1 - Funding information: A.K. and R.O. acknowledge JGU, DFG GZ OR 381/1-1, DFG GZ OR 381/3-1, and discussions with I. McCulloch, A. Gangat, Y.-Jer Kao, M. Rizzi, D. Porras, J. Eisert, J. J. García-Ripoll, and C. Ciuti. H.W. acknowledges the Volkswagen Foundation, DFG SFB 1227 (DQ-mat) and SPP 1929 (GiRyd).
PY - 2017/11/3
Y1 - 2017/11/3
N2 - Understanding dissipation in 2D quantum many-body systems is an open challenge which has proven remarkably difficult. Here we show how numerical simulations for this problem are possible by means of a tensor network algorithm that approximates steady states of 2D quantum lattice dissipative systems in the thermodynamic limit. Our method is based on the intuition that strong dissipation kills quantum entanglement before it gets too large to handle. We test its validity by simulating a dissipative quantum Ising model, relevant for dissipative systems of interacting Rydberg atoms, and benchmark our simulations with a variational algorithm based on product and correlated states. Our results support the existence of a first order transition in this model, with no bistable region. We also simulate a dissipative spin 1/2 XYZ model, showing that there is no re-entrance of the ferromagnetic phase. Our method enables the computation of steady states in 2D quantum lattice systems.
AB - Understanding dissipation in 2D quantum many-body systems is an open challenge which has proven remarkably difficult. Here we show how numerical simulations for this problem are possible by means of a tensor network algorithm that approximates steady states of 2D quantum lattice dissipative systems in the thermodynamic limit. Our method is based on the intuition that strong dissipation kills quantum entanglement before it gets too large to handle. We test its validity by simulating a dissipative quantum Ising model, relevant for dissipative systems of interacting Rydberg atoms, and benchmark our simulations with a variational algorithm based on product and correlated states. Our results support the existence of a first order transition in this model, with no bistable region. We also simulate a dissipative spin 1/2 XYZ model, showing that there is no re-entrance of the ferromagnetic phase. Our method enables the computation of steady states in 2D quantum lattice systems.
UR - http://www.scopus.com/inward/record.url?scp=85032796712&partnerID=8YFLogxK
U2 - 10.1038/s41467-017-01511-6
DO - 10.1038/s41467-017-01511-6
M3 - Article
C2 - 29097666
AN - SCOPUS:85032796712
VL - 8
JO - Nature Communications
JF - Nature Communications
SN - 2041-1723
M1 - 1291
ER -