Tensor-network simulation of the ruby-lattice antiferromagnet finds magnetic plateaus hosting simplex liquid states with residual entropy and continuous heat capacity at low but finite temperature.
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A generalized finite-time scaling form unifies Kibble-Zurek scaling for slow drives and De Grandi-Gritsev-Polkovnikov scaling for sudden quenches across arbitrary rates in critical dynamics.
Symmetric TDVP on GPUs achieves converged 1D Fermi-Hubbard quench dynamics at chi~62000 up to t=7, certifying the high-entanglement regime and lowering the reported quantum advantage to ~36x.
Truncated Wigner approximation recovers sample-to-sample Edwards-Anderson order parameter fluctuations and Binder cumulant critical exponents in biclique quantum spin glasses, matching theory and recent experiments with low cost up to tens of thousands of qubits.
Introductory lecture notes on tensor networks with emphasis on matrix-product states, their algorithms, higher-dimensional generalizations, and applications to mixed states and open quantum systems, accompanied by Julia code.
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Pushing the Classical Frontier of 1D Fermi-Hubbard Quench Dynamics Beyond Current Quantum Simulations
Symmetric TDVP on GPUs achieves converged 1D Fermi-Hubbard quench dynamics at chi~62000 up to t=7, certifying the high-entanglement regime and lowering the reported quantum advantage to ~36x.