NGS-MPS simulations of Hubbard–Holstein models show soft phonons promote 1D phase separation and stabilize 2D stripe phases, including a novel bipolaronic stripe with enlarged unit cell.
Or´ us, Nature Reviews Physics1, 538 (2019)
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Presents a tensor network method in Heisenberg picture for computing permanents in Boson Sampling at optimal classical complexity with extensions to imperfections.
A hybrid optimization strategy using classical pre-compilation, iterative extrapolation, and noise-aware quantum refinement achieves orders-of-magnitude gains in fidelity for state preparation in analog simulators with programmable long-range interactions.
A multi-part truncation for lattice QCD with fermions enables explicit Hamiltonians in 1+1D and 2+1D and string-breaking simulations by capping basis states, electric energy, fermions per site, and using large-Nc matrix element scaling.
Defines an entanglement-structure factor from Fourier analysis of site concurrences and compares it to local-density order parameters for Z_n transitions in Rydberg chains.
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NGS-MPS simulations of Hubbard–Holstein models show soft phonons promote 1D phase separation and stabilize 2D stripe phases, including a novel bipolaronic stripe with enlarged unit cell.
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Heisenberg picture tensor network formalism for optical circuits
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