Yes. Our Condensed State Physics Solver is designed to handle complex quantum systems, including strongly correlated fermionic and frustrated spin systems in various spatial dimensions.
Very accurate. The solver provides strict lower bounds to ground-state energies and precise approximations of few-particle Green’s functions, comparable to exact solutions and quantum Monte Carlo calculations.
Yes. The Condensed State Physics Solver is applicable to both solid and liquid phases, as well as more exotic condensed phases like superconductors and Bose-Einstein condensates.
Yes. Unlike some variational techniques, our solver works directly in the thermodynamic limit, making it particularly useful for studying large-scale systems.
The solver can handle a wide range of models, including the Hubbard model, spinless fermion models, and various lattice models used in condensed matter physics.
No. While machine learning is increasingly used in condensed matter physics, our solver primarily uses semidefinite programming (SDP) techniques to approach ground-state problems efficiently.
Yes. By providing accurate solutions to condensed matter problems, the solver can assist in predicting various material properties, aiding in the development of new materials and technologies.
