In a recent contribution fermionic projected entangled-pair states (PEPSs) were used to approximate the ground state of free and interacting spinless fermion models, as well as the t-J model. This paper revisits these three models in the presence of an additional next-nearest hopping amplitude in the Hamiltonian. First we explain how to account for next-nearest neighbor Hamiltonian terms in the context of fermionic PEPS algorithms based on simulating time evolution. Then we present benchmark calculations for the three models of fermions and compare our results against analytical, mean-field, and variational Monte Carlo results, respectively. Consistent with previous computations restricted to nearest neighbor Hamiltonians, we systematically...
Many electromagnetic properties of graphene can be described by the Hubbard model on a honeycomb lat...
Fermionic Gaussian Projected Entangled Pair States are fermionic tensor network state constructions ...
We present a simulation algorithm for Hamiltonian fermion lattice models. A guiding trial wave funct...
We explain how to implement, in the context of projected entangled-pair states (PEPSs), the general ...
We introduce a family of states, the fermionic projected entangled pair states (fPEPS), which descri...
We introduce a family of states, the fermionic projected entangled pair states (fPEPS), which descri...
We introduce a family of states, the fermionic projected entangled pair states (fPEPS), which descri...
We present and implement an efficient variational method to simulate two-dimensional finite-size fer...
We present and implement an efficient variational method to simulate two-dimensional finite-size fer...
We present and implement an efficient variational method to simulate two-dimensional finite-size fer...
Tensor network states, and in particular Projected Entangled Pair States(PEPS) have been a strong an...
Tensor network states, and in particular projected entangled pair states (PEPS) have been a strong a...
We demonstrate that Monte Carlo sampling can be used to efficiently extract the expectation value of...
We demonstrate that Monte Carlo sampling can be used to efficiently extract the expectation value of...
We demonstrate that projected entangled-pair states (PEPS) are able to represent ground states of cr...
Many electromagnetic properties of graphene can be described by the Hubbard model on a honeycomb lat...
Fermionic Gaussian Projected Entangled Pair States are fermionic tensor network state constructions ...
We present a simulation algorithm for Hamiltonian fermion lattice models. A guiding trial wave funct...
We explain how to implement, in the context of projected entangled-pair states (PEPSs), the general ...
We introduce a family of states, the fermionic projected entangled pair states (fPEPS), which descri...
We introduce a family of states, the fermionic projected entangled pair states (fPEPS), which descri...
We introduce a family of states, the fermionic projected entangled pair states (fPEPS), which descri...
We present and implement an efficient variational method to simulate two-dimensional finite-size fer...
We present and implement an efficient variational method to simulate two-dimensional finite-size fer...
We present and implement an efficient variational method to simulate two-dimensional finite-size fer...
Tensor network states, and in particular Projected Entangled Pair States(PEPS) have been a strong an...
Tensor network states, and in particular projected entangled pair states (PEPS) have been a strong a...
We demonstrate that Monte Carlo sampling can be used to efficiently extract the expectation value of...
We demonstrate that Monte Carlo sampling can be used to efficiently extract the expectation value of...
We demonstrate that projected entangled-pair states (PEPS) are able to represent ground states of cr...
Many electromagnetic properties of graphene can be described by the Hubbard model on a honeycomb lat...
Fermionic Gaussian Projected Entangled Pair States are fermionic tensor network state constructions ...
We present a simulation algorithm for Hamiltonian fermion lattice models. A guiding trial wave funct...