116 citations · 927 across the 41 of their papers we have counts for
47 papers
Improved local truncation schemes for the higher-order tensor renormalization group method
Jacques Bloch, Robert Lohmayer, Maximilian Meister +1
The higher-order tensor renormalization group is a tensor-network method providing estimates for the partition function and thermodynamical observables of classical and quantum sys…
Grassmann tensor-network method for strong-coupling QCD
Jacques Bloch, Robert Lohmayer
We present a tensor-network method for strong-coupling QCD with staggered quarks at nonzero chemical potential. After integrating out the gauge fields at infinite coupling, the par…
Grassmann higher-order tensor renormalization group approach for two-dimensional strong-coupling QCD
Jacques Bloch, Robert Lohmayer
We present a tensor-network approach for two-dimensional strong-coupling QCD with staggered quarks at nonzero chemical potential. After integrating out the gauge fields at infinite…
Tensor-network simulation of the strong-coupling model
Pascal Milde, Jacques Bloch, Robert Lohmayer
We apply tensor network methods to study the strong-coupling model in its dimer formulation. In three and four dimensions, we investigate the chiral condensate as a function…
Tensor-network study of the 3d model at non-zero chemical potential and temperature
Jacques Bloch, Robert Lohmayer, Maximilian Meister
We present results of tensor-network simulations of the three-dimensional model at non-zero chemical potential and temperature, which were computed using the higher-order te…
Effective model for finite-density QCD with tensor networks
Jacques Bloch, Robert Lohmayer, Sophia Schweiss +1
The tensor renormalization group is a promising numerical method used to study lattice statistical field theories. However, this approach is computationally expensive in 2+1 and 3+…