Momentum-Mixing Hatsugai-Kohmoto Model
- Momentum-Mixing Hatsugai-Kohmoto (MMHK) is a cluster-based, numerically exact approach for modeling strongly correlated SU(N) lattice systems with explicit momentum mixing.
- The model employs a unitary twist transformation to map to the conventional Hubbard model, accurately reproducing key bulk observables such as Mott transitions and response functions.
- Rapid 1/n^2 convergence and a sign-problem-free framework enable direct real-frequency computation of dynamical properties and reliable phase diagram analysis.
The momentum-mixing Hatsugai-Kohmoto (MMHK) model, also referred to as the orbital Hatsugai-Kohmoto (OHK) model, is a numerically exact approach to simulating strongly correlated systems with SU() symmetry in -dimensional lattices. It extends the original Hatsugai-Kohmoto construction by incorporating explicit momentum mixing via cluster (supercell) formation in real space, resulting in powerful convergence properties. The MMHK model is formally unitarily equivalent to the conventional Hubbard model under a twist transformation, and reproduces all bulk charge-sector observables of the Hubbard model—including Mott transitions and response functions—in the large-cluster limit (Hackner et al., 13 Mar 2025, Bai et al., 2 Dec 2025).
1. Hamiltonian Formulation
The MMHK model is constructed by partitioning the real-space lattice into clusters (supercells) of sites, labeled . In momentum space, for each momentum in the reduced Brillouin zone (rBZ), the system is described by an "orbital" (cluster) index and an SU() flavor index . The Hamiltonian for the SU() MMHK model is: where creates a fermion of flavor on cluster site labeled by momentum , , is the on-site Hubbard interaction, and is the hopping matrix derived from Fourier transforming nearest-neighbor hopping onto the -site cluster. Off-diagonal () terms encode momentum mixing. In the limit, the model reduces to the usual SU() Hubbard Hamiltonian, with on the full Brillouin zone (Hackner et al., 13 Mar 2025, Bai et al., 2 Dec 2025).
2. Momentum Mixing, Brillouin Zone Folding, and Twist Equivalence
Grouping sites into clusters of introduces explicit momentum mixing, absent in the non-mixing (band) HK model. The momentum-mixing arises from off-diagonal elements in , which mix the cluster orbitals within each in rBZ. This construction can also be described in the basis, where labels rBZ patches and the real-space sites within each cluster: The kinetic term acquires a -dependent phase : A unitary twist transformation can remove these phases: yielding the real-space Hubbard Hamiltonian. Thus, the MMHK Hamiltonian is unitarily equivalent to the ordinary Hubbard model; this equivalence holds for all observables invariant under the twist, most notably in the charge sector (Bai et al., 2 Dec 2025).
3. SU(N) Symmetry and Thermodynamic Observables
The MMHK model is fully SU() symmetric: the flavor index only enters the kinetic term diagonally and in a symmetrized Hubbard interaction . Global SU() rotations act as and leave the Hamiltonian invariant.
Key thermodynamic observables include:
- Filling per site:
- Double occupancy:
- Compressibility:
Low-temperature and dynamical quantities, including dynamical structure factors, are computed directly in real frequency on the cluster without analytic continuation (Hackner et al., 13 Mar 2025).
4. Convergence and Numerical Benchmarks
The MMHK model exhibits rapid convergence in all thermodynamic and dynamical observables as increases. For , quantitative agreement with determinantal quantum Monte Carlo (DQMC) is reached in double occupancy, and qualitative-to-quantitative agreement for filling and compressibility across the Mott transition.
The table below summarizes key numerical benchmarks (Hackner et al., 13 Mar 2025):
| Observable | MMHK (n=4–9) | Hubbard Model/DQMC |
|---|---|---|
| Double occupancy vs. | Quantitative agreement | DQMC (except for high densities) |
| Critical for Mott gap (SU(3)) | , , | (DQMC), (AFQMC) |
| SU(3) structure factor peak | Peaks at for | Matches SU(3) Hubbard results |
Direct real-frequency computations at and finite are possible with no sign problem, enabling simulation at high densities and low temperatures.
5. Charge-Sector Equivalence and Physical Implications
The MMHK model, under the twist transformation , produces the same single-particle Green's function, spectral function , and density response as the conventional Hubbard model. Watanabe's insensitivity theorem guarantees that all bulk charge-sector observables—Mott gap, phase boundaries, lower and upper Hubbard bands, and suppressed charge fluctuations—match identically in the large- limit.
Transport coefficients computed via Kubo formulas (e.g., optical conductivity, thermopower) show equivalence up to exponentially small finite-size/twist effects. While magnetic (spin) physics may differ in detail (twisted vs. periodic spin waves), bulk susceptibilities and transition temperatures are unchanged. Thus, MMHK provides a numerically exact alternative route to obtain Hubbard model charge-sector physics with fast convergence and superior computational efficiency compared to conventional real-space cluster methods (Bai et al., 2 Dec 2025).
6. Advantages, Applications, and Outlook
The MMHK model establishes itself as a powerful, sign-problem-free, cluster-based simulator for strongly interacting SU() quantum lattice systems:
- Rapid convergence enables accurate results for clusters at all temperatures.
- Direct access to real-frequency dynamical (spectral) quantities without reliance on analytic continuation.
- No sign problem, allowing simulations at large system size, high densities, and low temperatures.
- Formal equivalence—via a unitary twist—to the Hubbard model for all charge-related bulk physics, ensuring unbiased results for phase diagrams and response functions.
The MMHK approach bridges the gap between exactly solvable models and intractable fully interacting systems, providing both deep theoretical insight and practical computational schemes for high-precision studies of Mott physics, SU() magnetism, and correlated lattice models (Hackner et al., 13 Mar 2025, Bai et al., 2 Dec 2025).