We propose an explicit formulation of the physical subspace for a (1+1)-dimensional SU(2) lattice gauge theory, where the gauge degrees of freedom are integrated out. Our formulation is completely general, and might be potentially suited for the design of future quantum simulators. Additionally, it allows for addressing the theory numerically with matrix product states. We apply this technique to explore the spectral properties of the model and the effect of truncating the gauge degrees of freedom to a small finite dimension. In particular, we determine the scaling exponents for the vector mass. Furthermore, we also compute the entanglement entropy in the ground state and study its scaling towards the continuum limit
Abstract We study target space entanglement in gauged multi-matrix models as models of entanglement ...
We propose an efficient variational method for Z{sub 2} lattice gauge theory based on the matrix pro...
International audienceWe obtain an exact matrix-product-state (MPS) representation of a large series...
We propose an explicit formulation of the physical subspace for a 1+1 dimensional SU(2) lattice gaug...
We propose an explicit formulation of the physical subspace for a (1$+$1)-dimensional SU(2) latticeg...
Hamiltonian simulations of quantum systems require a finite-dimensional representation of the operat...
Tensor network methods have progressed from variational techniques based on matrix-product states ab...
The research work in this thesis is based on strongly interacting quantum lattice systems. The bigge...
The truncation or compression of the spectrum of Schmidt values is inherent to the matrix product st...
It has been established that matrix product states can be used to compute the ground state and singl...
Tensor network states, and in particular projected entangled pair states (PEPS) have been a strong a...
The matrix product state formalism is used to simulate Hamiltonian lattice gauge theories. To this e...
Over the last decade tensor network states (TNS) have emerged as a powerful tool for the study of qu...
We use lattice gauge theory simulation to evaluate the spectrum in pure gauge theory with an SU(2) c...
Many quantum computation algorithms, and processes like measurement based quantum computing, require...
Abstract We study target space entanglement in gauged multi-matrix models as models of entanglement ...
We propose an efficient variational method for Z{sub 2} lattice gauge theory based on the matrix pro...
International audienceWe obtain an exact matrix-product-state (MPS) representation of a large series...
We propose an explicit formulation of the physical subspace for a 1+1 dimensional SU(2) lattice gaug...
We propose an explicit formulation of the physical subspace for a (1$+$1)-dimensional SU(2) latticeg...
Hamiltonian simulations of quantum systems require a finite-dimensional representation of the operat...
Tensor network methods have progressed from variational techniques based on matrix-product states ab...
The research work in this thesis is based on strongly interacting quantum lattice systems. The bigge...
The truncation or compression of the spectrum of Schmidt values is inherent to the matrix product st...
It has been established that matrix product states can be used to compute the ground state and singl...
Tensor network states, and in particular projected entangled pair states (PEPS) have been a strong a...
The matrix product state formalism is used to simulate Hamiltonian lattice gauge theories. To this e...
Over the last decade tensor network states (TNS) have emerged as a powerful tool for the study of qu...
We use lattice gauge theory simulation to evaluate the spectrum in pure gauge theory with an SU(2) c...
Many quantum computation algorithms, and processes like measurement based quantum computing, require...
Abstract We study target space entanglement in gauged multi-matrix models as models of entanglement ...
We propose an efficient variational method for Z{sub 2} lattice gauge theory based on the matrix pro...
International audienceWe obtain an exact matrix-product-state (MPS) representation of a large series...