Long-Range Interacting Lattice Models
- Long-range interacting lattice models are defined by power-law decaying interactions that establish strong nonlocal correlations and modify critical exponents and phase transitions.
- These systems exhibit anomalous nonequilibrium dynamics, including the breakdown of standard light-cone propagation and emergence of sub-ballistic and ballistic correlation behaviors.
- Advanced numerical methods, such as optimized Monte Carlo schemes and stochastic cutoffs, enable efficient simulation of rich static and dynamic phenomena in these models.
Long-range interacting lattice models are systems in which the pairwise interactions between degrees of freedom—such as spins, particles, or fermions—decay with distance as a power law or more slowly, so that distant sites may remain strongly correlated. Unlike short-range models, where only neighboring sites couple significantly, long-range lattice models exhibit fundamentally different static and dynamical properties, affecting critical behavior, correlation propagation, phase transitions, simulation complexity, and emergent collective phenomena.
1. Model Formulation and Classification
Long-range interacting lattice models are formulated by defining a Hamiltonian or action where the coupling between sites and decays with their spatial separation :
with for a -dimensional lattice and decay parameter (Aiudi et al., 2023). Variants may include quantum (commuting or non-commuting spin operators), particle (density-density), or fermionic (BCS-like) Hamiltonians.
Classification by Decay Exponent and Dimension :
- Mean-Field Regime (): Static and dynamic critical exponents are equal to mean-field values.
- Non-Trivial Long-Range Regime (): Critical exponents vary continuously with and depend on the details of the algebraic decay.
- Short-Range Regime (): Universal properties coincide with those of nearest-neighbor models (Aiudi et al., 2023).
Here is the anomalous dimension for the corresponding short-range system. In equilibrium, the crossover to short-range universality occurs at .
Quantum models may include, for instance, transverse-field Ising or XXZ chains with interactions decaying as , where plays the role of and controls locality of dynamics and correlations (Maghrebi et al., 2015, Despres, 4 Oct 2024).
2. Static Critical Behavior and Phase Transitions
The presence of long-range interactions modifies thermodynamic properties and critical phenomena:
- Static Critical Exponents: As established by Sak and others, susceptibility and magnetization exponents interpolate between mean-field and non-trivial values as is tuned. In the long-range regime , for Ising models the magnetization susceptibility exponent satisfies (Aiudi et al., 2023).
- Phase Transition Structure: Depending on parameters, models can exhibit first-order transitions and ensemble inequivalence (e.g., non-differentiable entropy), especially in microcanonical setups for lattice gases (Aristoff et al., 2016). A typical variational principle for microcanonical entropy takes the form
with a functional of occupancy profiles and imposing energy and density constraints.
- Topological and Exotic Phases: In certain quantum models with power-law interactions, the interplay between lattice discreteness and long-range couplings can give rise to exotic paired states, e.g., chiral -wave superconductivity with nontrivial Chern number (Buchheit et al., 2022).
- Lattice Structure Selection: In variational problems modeling diblock copolymers or generalized Coulomb systems, the minimization of the regular part of a non-local kernel (e.g., Green's function of ) selects specific lattice shapes (BCC in 3D) (Ren et al., 2022).
3. Nonequilibrium Dynamics and Correlation Spreading
The propagation of information and correlations in long-range models is dramatically altered compared to their short-range counterparts:
- Breakdown of Ballistic "Light Cones": For interactions decaying as with ( the spatial dimension), a generalized Lieb-Robinson bound holds, but the causal region is no longer linear; for , it grows only logarithmically or as a power law (Eisert et al., 2013, Despres, 4 Oct 2024). For , even this bound fails and correlations can appear instantaneously across the system.
- Twofold Causality Structure: After global quenches, the spread of equal-time connected correlations displays a twofold universal algebraic structure:
- A correlation edge (CE), propagating sub-ballistically (, ), whose scaling depends on the low-momentum structure of the excitation spectrum (e.g., for 1D transverse Ising chains in the gapped phase).
- Internal extrema (local maxima), propagating ballistically (), independent of in the gapped regime (Despres, 4 Oct 2024).
- Hydrodynamics with Multiple Conservation Laws: In systems with center-of-mass conservation, long-range pair-hopping processes can lead to subdiffusive, diffusive, or superdiffusive relaxation depending on the competition between the decay exponents (pairing) and (hopping), with the dynamical exponent varying continuously: or depending on which process is long-range (Morningstar et al., 2023).
- Non-Markovian Relaxation: For lattices with fixed sites and momentum degrees of freedom, the relaxation timescale scales polynomially with system size : for power-law interactions, distinct thresholds at and separate regimes with fundamentally different relaxation behavior; non-Markovian memory effects dominate for finite and slow decay (Filho et al., 2019).
4. Numerical Methods and Computational Schemes
Simulating long-range interacting lattice models is computationally demanding due to all-to-all couplings:
- Predecision Schemes (Metropolis Updates): Efficient algorithms reduce the computational complexity of traditional Monte Carlo updates:
- For potentials , the "predecision" method reduces the per-sweep cost from to for and to for by safely aborting the summation of small couplings once the move can be accepted or rejected exactly (Müller et al., 13 Aug 2025).
- The algorithm preserves the exact Markov chain as a traditional implementation, applicable to O(n)-spin models (Ising, XY, spin glass) and adaptable for both equilibrium and nonequilibrium studies.
- Stochastic Cutoff and Parallelized Schemes: Stochastic elimination of weak pairs, combined with distributed vertex coloring (e.g., Kuhn–Wattenhofer algorithm), allows for dividing the lattice into noninteracting sublattices, enabling highly efficient parallel updates (e.g., >100 speedup for 2D dipolar systems using 288 processors) (Endo et al., 2015).
- Dynamical Lévy Lattices: Local dynamics is achieved by dynamically sampling the interaction network at each update step according to a Lévy (power-law) probability, thus mimicking long-range statistics while keeping each update local (Aiudi et al., 2023).
5. Emergent Entanglement and Topology
Long-range interactions affect both the nature and scaling of quantum entanglement:
- Area Law Stability: For quantum -dimensional lattices with two-site interactions decaying as , entanglement entropy of any subsystem increases at most with the boundary area (not volume) for during time evolution. The ground-state entanglement area law remains valid under adiabatic deformations provided (Gong et al., 2017).
- Dynamical and Quantum Phase Transitions: Reducing below these thresholds can induce transitions from area-law to volume-law entanglement scaling during dynamical processes, indicating the presence of new types of non-equilibrium dynamical phase transitions not detected by conventional spectral gap closures (Gong et al., 2017).
- Topological Phases: Exact continuum representations using, for instance, the Epstein zeta function decomposition make it possible to analyze gap equations and uncover transitions to topological phases such as or wave superconductors (Buchheit et al., 2022).
6. Localization, Fragmentation, and Nonergodic Phases
Long-range interactions, especially with "tilted" or position-dependent strength, induce nontrivial effects in Hilbert space structure:
- Nonmonotonic Localization Volume: In chains where the interaction strength increases linearly with position (as in certain staggered Schwinger models), the many-body participation entropy (a measure of localization volume in Hilbert space) exhibits a nonmonotonic dependence on the interaction range . There exists an intermediate regime in where the localization volume is minimized due to competition between Hilbert space fragmentation and global connectivity (Mallick et al., 25 Jan 2024).
- Hilbert Space Fragmentation: The two-body terms can partition the Hilbert space into disjoint or weakly connected clusters, leading to nonergodic or scarred many-body eigenstates even in disorder-free systems.
- Implications for Quantum Simulation: These effects are highly relevant for implementations of quantum simulators of lattice gauge theories with effective long-range interactions, where screening or tuning of can be used to experimentally access regimes with enhanced localization or ergodicity breaking (Mallick et al., 25 Jan 2024).
7. Impact, Applications, and Outlook
Long-range interacting lattice models provide a unified framework for describing systems as diverse as quantum simulators of lattice gauge theories, ultracold atomic arrays, frustrated and glassy magnets, long-range Ising and XY models, diblock copolymers, and unconventional superconductors.
Their key features—the breakdown of strict causality, anomalous non-Markovian relaxation, rich dynamical phase diagrams, anomalous entanglement scaling, and nontrivial localization phenomena—have broad theoretical and experimental implications:
- Critical and Dynamical Scaling: Enable access to universality classes not accessible in short-range models (Aiudi et al., 2023, Maghrebi et al., 2015).
- Simulation Algorithms: Enable efficient paper of systems with millions of degrees of freedom, facilitating detailed exploration of equilibrium and nonequilibrium phenomena (Müller et al., 13 Aug 2025, Endo et al., 2015).
- Quantum Information and Transport: Predict and analyze regimes with anomalous spreading of quantum information, security for quantum communication, and new mechanisms for nonergodic protection (Eisert et al., 2013, Despres, 4 Oct 2024, Mallick et al., 25 Jan 2024).
- Material Design and Pattern Formation: Explain and engineer the emergence of crystal lattices (pine BCC/FCC) or novel superconducting phases via the interplay of local and long-range energetics (Ren et al., 2022, Buchheit et al., 2022).
Future directions include systematically classifying dynamical phase transitions as a function of decay exponent and dimension, extending coarse-graining and continuum methods to multicomponent and quantum systems, and leveraging parallel and randomized algorithms for exploration of complex long-range models in high-dimensional parameter spaces. Experimental advances, particularly in ultracold gases and Rydberg platforms, provide fertile ground for realizing and testing many of these predictions.