An infinite projected entangled pair state (iPEPS) is a tensor network ansatz to represent a quantum state on an infinite 2D lattice whose accuracy is controlled by the bond dimension D. Its real, Lindbladian, or imaginary time evolution can be split into small time steps. Every time step generates a new iPEPS with an enlarged bond dimension D′ > D, which is approximated by an iPEPS with the original D. In P. Czarnik and J. Dziarmaga, Phys. Rev. B 98, 045110 (2018)2469-995010.1103/PhysRevB.98.045110, an algorithm was introduced to optimize the approximate iPEPS by maximizing directly its fidelity to the one with the enlarged bond dimension D′ . In this paper, we implement a more efficient optimization employing a local estimator of the fide...
Determining the properties of quantum many-body systems is a central challenge in modern physics. Be...
The projected entangled pair state (PEPS) ansatz can represent a thermal state in a strongly correla...
We propose an environment recycling scheme to speed up a class of tensor network algorithms that pro...
A typical quantum state obeying the area law for entanglement on an infinite two-dimensional (2D) la...
The infinite projected entangled pair states (iPEPS) algorithm [J. Jordan et al., Phys. Rev. Lett. 1...
We propose an efficient algorithm for simulating quantum many-body systems in two spatial dimensions...
An extension of the projected entangled-pair states (PEPS) algorithm to infinite systems, known as t...
Time evolution of an infinite 2D many body quantum lattice system can be described by the Suzuki-Tro...
2noThe infinite projected entangled pair states (iPEPS) technique [J. Jordan et al., Phys. Rev. Lett...
A projected entangled pair state (PEPS) with ancillas can be evolved in imaginary time to obtain the...
We present an algorithm to simulate two-dimensional quantum lattice systems in the thermodynamic lim...
We present calculations of the time-evolution of the driven-dissipative XYZ model using the infinite...
The minimally entangled typical thermal states (METTS) are an ensemble of pure states, equivalent to...
A projected entangled pair state (PEPS) with ancillas is evolved in imaginary time. This tensor netw...
An infinite projected entangled-pair state (iPEPS) is a variational tensor network ansatz for two-di...
Determining the properties of quantum many-body systems is a central challenge in modern physics. Be...
The projected entangled pair state (PEPS) ansatz can represent a thermal state in a strongly correla...
We propose an environment recycling scheme to speed up a class of tensor network algorithms that pro...
A typical quantum state obeying the area law for entanglement on an infinite two-dimensional (2D) la...
The infinite projected entangled pair states (iPEPS) algorithm [J. Jordan et al., Phys. Rev. Lett. 1...
We propose an efficient algorithm for simulating quantum many-body systems in two spatial dimensions...
An extension of the projected entangled-pair states (PEPS) algorithm to infinite systems, known as t...
Time evolution of an infinite 2D many body quantum lattice system can be described by the Suzuki-Tro...
2noThe infinite projected entangled pair states (iPEPS) technique [J. Jordan et al., Phys. Rev. Lett...
A projected entangled pair state (PEPS) with ancillas can be evolved in imaginary time to obtain the...
We present an algorithm to simulate two-dimensional quantum lattice systems in the thermodynamic lim...
We present calculations of the time-evolution of the driven-dissipative XYZ model using the infinite...
The minimally entangled typical thermal states (METTS) are an ensemble of pure states, equivalent to...
A projected entangled pair state (PEPS) with ancillas is evolved in imaginary time. This tensor netw...
An infinite projected entangled-pair state (iPEPS) is a variational tensor network ansatz for two-di...
Determining the properties of quantum many-body systems is a central challenge in modern physics. Be...
The projected entangled pair state (PEPS) ansatz can represent a thermal state in a strongly correla...
We propose an environment recycling scheme to speed up a class of tensor network algorithms that pro...