A tensor-network method converts ultra-large tight-binding problems into compressible many-body problems on L pseudospins and evaluates observables without explicit matrix storage or diagonalization.
Hidden dualities in 1d quasiperiodic lattice models
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Tensor-network representation of the density matrix via Chebyshev algorithm computes real-space topological markers in C8 and C10 quasicrystals and Chern mosaics at scales of hundreds of millions of sites.
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Tensor Network Solvers for Ultra-large Tight-binding Hamiltonians: Algorithms and Applications
A tensor-network method converts ultra-large tight-binding problems into compressible many-body problems on L pseudospins and evaluates observables without explicit matrix storage or diagonalization.
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Tensor network method for real-space topology in quasicrystal Chern mosaics
Tensor-network representation of the density matrix via Chebyshev algorithm computes real-space topological markers in C8 and C10 quasicrystals and Chern mosaics at scales of hundreds of millions of sites.