An optimization framework for high-efficiency quantum Feshbach engines in trapped BECs is developed using variational dynamics and Nelson's stochastic quantization to minimize cost functionals for protocol duration versus physical constraints.
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2026 2verdicts
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qSHIFT achieves L-independent gate complexity and O(t^{1+r}) error scaling in quantum simulation through adaptive sampling distributions updated by solving L^r classical linear equations per round.
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Optimal Quantum Feshbach Engines
An optimization framework for high-efficiency quantum Feshbach engines in trapped BECs is developed using variational dynamics and Nelson's stochastic quantization to minimize cost functionals for protocol duration versus physical constraints.
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qSHIFT: An Adaptive Sampling Protocol for Higher-Order Quantum Simulation
qSHIFT achieves L-independent gate complexity and O(t^{1+r}) error scaling in quantum simulation through adaptive sampling distributions updated by solving L^r classical linear equations per round.