Fig. 8: Numerical convergence.
From: Lattice quantum electrodynamics in (3+1)-dimensions at finite density with tensor networks
a Driven optimization (in three steps: linear, quadratic, constant) of the penalty coefficient ν (red) and behavior of the energy (blue) as a function of the iterations for an exemplifying simulation. The energy is reported as the difference with the lowest final energy that we reach. b Driven optimization of the penalty coefficient ν (red) and global error δL (green) with respect to the link symmetry during the optimization steps. c Scaling of the energy density as a function of the inverse of the bond dimension 1/χ. The bond dimension χ is in the range \(\left[100,450\right]\).
