DMRG Sweeping

Density Matrix Renormalization Group: iterative variational algorithm over MPS states. Each sweep optimizes one tensor at a time using Lanczos eigensolver, converging to the ground state. Watch energy convergence and entanglement entropy profile build up over sweeps.

DMRG Parameters

Press Run DMRG...

DMRG Algorithm

White (1992, 1993): DMRG keeps the χ most relevant eigenstates of the reduced density matrix ρ = Tr_env|Ψ⟩⟨Ψ|.

Sweep procedure:
• Left-to-right: optimize A[1],A[2],...,A[L-1]
• Right-to-left: optimize A[L-1],...,A[1]
• Each step: 2-site effective Hamiltonian in χ² × d² space, Lanczos to find ground state, SVD to update bond tensor.

Truncation error: ε = 1 - Σᵢ₌₁^χ λᵢ² controls accuracy. Gapped phases: ε ~ e^{-χ}. Critical: ε ~ χ^{-κ}.

MBL: With disorder W, entanglement follows area law even for excited states → DMRG works well in MBL phase.