The entanglement area law for gapped ground states in two dimensions
Let be a Hamiltonian on finitely many spins placed on a finite domain , with interactions of bounded range and norm at most , and a unique ground state separated from the rest of the spectrum by a gap independent of the system size. Hastings (2007) proved that in one dimension the entanglement entropy of any interval is bounded by a constant depending only on . The gap-to-area-law conjecture asks for the higher-dimensional analogue; in two dimensions only subvolume or near-linear bounds for frustration-free, locally gapped models were known. Is there a constant such that for every region of every such two-dimensional system?
- Result
- Proved(see note)
- Status
- Candidate (review pending)
- AI contribution
- AI-discovered
- Method
- Argument
- Field
- Quantum many-body systems; entanglement and spectral gaps
- Posed by
- The gap-to-area-law conjecture, cited by the manuscript to M. B. Hastings (2007) and Arad, Landau and Vazirani (2012)
- Year posed
- 2007
- Years open
- 19y
- Solved
- 2026-09-24
- Model
- Unreleased internal OpenAI model
- Vendor
- OpenAI
- Collaborators
- —
- Verification
- Unreviewed
- Publication
- Announced
- Collection
- OpenAI math release (October 2026), version adc7f12
- Significance
- 48 / 100
- Disclosed cost
- —
- Wikipedia
- No dedicated article
What was actually shown
Theorem 1.1: for fixed there is such that for every finite induced domain and every Hamiltonian of range and term norm with a unique ground vector and , every has . Corollary 1.2 gives the vertex-boundary forms. The companion proves that on open grids with nearest-neighbour interactions the ground state has a PEPS approximation of bond dimension and global error . It does not treat dimensions three and higher, Renyi entropies, or degenerate ground states, and gives no explicit constant.
What the AI did
The release README says every result in openai/math was produced by an unreleased internal OpenAI model with a fixed procedure, on average about three hours of ChatGPT Pro thinking compute per result. This result is not one of the README's two exceptions (the Hodge conjecture for CM abelian varieties and the Re(s) > 11/12 zero-free region). The manuscript is authored 'OpenAI' and names no human author. The family has a companion manuscript of the same date, 'Polynomial PEPS approximation of gapped square-grid ground states', which uses this paper's collar estimates as its analytic input.
Verification
No independent mathematician has checked this yet. Checked here: Theorem 1.1 was read against the conjecture. It assumes only a uniform gap for the full Hamiltonian (no local gap, no frustration-freeness, no commutativity) on any finite induced subgraph of the square lattice, including domains with holes, and bounds the entropy of every subset by a constant times its edge boundary, uniformly in domain size and shape. The release has no Lean formalization for this family. The result is two-dimensional only: the paper makes no claim for with . The constant is existential.