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Quantum adiabatic algorithms can achieve quadratic speedups in Gibbs-state preparation by exploiting spectral amplification of Markov chain gaps.
FlowWAM achieves a remarkable 92.94% success rate in manipulation tasks by harnessing optical flow as a video-native action representation.
Quantum simulations reveal a surprising transition from hardware noise limitations to finite-dimensional representation constraints in nonlinear dynamics.
