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.
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Spin-conserving and TE-TM spin-flip tunneling in closed polariton condensate geometries produce circulating particle currents, hidden spin counterflows, and bond-dependent spin patterns that partition equilibrium phases.
citing papers explorer
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Programming long-range interactions in analog quantum simulators
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.
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Josephson and Spin Currents in Coupled Polariton Condensates
Spin-conserving and TE-TM spin-flip tunneling in closed polariton condensate geometries produce circulating particle currents, hidden spin counterflows, and bond-dependent spin patterns that partition equilibrium phases.