8 papers
Improved time-translationally invariant tensor network influence functional method for Anderson impurity problems
Zhijie Sun, Zhenyu Li, Chu Guo
The Anderson impurity model (AIM) is of fundamental importance in condensed matter physics for studying strongly correlated phenomena. However, accurately simulating its long-time…
Scalable tensor network algorithm for quantum impurity problems
Zhijie Sun, Ruofan Chen, Zhenyu Li +1
The Grassmann time-evolving matrix product operator method has shown great potential as a general-purpose quantum impurity solver, as its numerical errors can be well-controlled an…
Infinite Grassmann time-evolving matrix product operators for quantum impurity problems after a quench
Zhijie Sun, Ruofan Chen, Zhenyu Li +1
An emergent numerical approach to solve quantum impurity problems is to encode the impurity path integral as a matrix product state. For time-dependent problems, the cost of this a…
Tensor network algorithm to solve polaron impurity problems
Ruofan Chen, Lei Gu, Chu Guo
The polaron problem is a very old problem in condensed matter physics that dates back to the thirties, but still remain largely unsolved today, especially when electron-electron in…
Emergence of steady quantum transport in a superconducting processor
Pengfei Zhang, Yu Gao, Xiansong Xu +29
Non-equilibrium quantum transport is crucial to technological advances ranging from nanoelectronics to thermal management. In essence, it deals with the coherent transfer of energy…
Grassmann time-evolving matrix product operators: An efficient numerical approach for fermionic path integral simulations
Xiansong Xu, Chu Guo, Ruofan Chen
Developing numerical exact solvers for open quantum systems is a challenging task due to the non-perturbative and non-Markovian nature when coupling to structured environments. The…