Matrix Product State — Entanglement

|ψ⟩ = ∑ A[1]ⁱ¹A[2]ⁱ²···A[N]ⁱᴺ |i₁i₂···iN⟩  |  Area Law
S(A) = S_max = Ratio S/S_max = DOF:
Matrix Product States (MPS) are tensor network ansätze that efficiently represent ground states of gapped 1D Hamiltonians. The key parameter is the bond dimension χ: entanglement entropy across any cut is bounded by S ≤ log₂(χ) — this is the area law (area = a single point in 1D). In contrast, generic quantum states (Page states) satisfy the volume law S ≈ N/2 log₂(d). DMRG (White 1992) implicitly works with MPS; the modern tensor network formulation (Vidal 2003) makes this explicit. For critical systems described by CFT, the entanglement grows logarithmically: S = (c/3) log(N/π sin(πℓ/N)). Visualization shows the MPS network, singular value spectra at the cut, and entanglement entropy profile.