Analytical Pauli-string coefficients plus multistage state refinement let tensor networks find low eigenstates of million-dimensional Laplacians with high fidelity on 20 qubits.
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DMRG simulations indicate that two-leg t-J ladders can enter a Luttinger liquid regime with gapless spin and charge modes exhibiting spin-charge separation signatures under tuned plaquette hopping, exchange, and doping.
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Efficient Pauli-decomposition and multistage state-refinement for tensor network based differential equation solver
Analytical Pauli-string coefficients plus multistage state refinement let tensor networks find low eigenstates of million-dimensional Laplacians with high fidelity on 20 qubits.
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Spin-charge separation in two-leg t-J ladders
DMRG simulations indicate that two-leg t-J ladders can enter a Luttinger liquid regime with gapless spin and charge modes exhibiting spin-charge separation signatures under tuned plaquette hopping, exchange, and doping.