Using fracton-elasticity duality, the authors construct an effective theory showing coherent magnon-dislon hybridization with helicity-selective and anisotropic properties dictated by dislocation topology.
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SpinTune applies reinforcement learning to discover adaptive dynamical decoupling sequences that outperform standard methods at preserving coherence in simulated Carbon-13 spin bath environments.
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Magnon-dislon hybridization in magnetic insulators
Using fracton-elasticity duality, the authors construct an effective theory showing coherent magnon-dislon hybridization with helicity-selective and anisotropic properties dictated by dislocation topology.
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SpinTune: Improving the Reliability of Quantum Sensor Networks for Practical Quantum-Classical Utility
SpinTune applies reinforcement learning to discover adaptive dynamical decoupling sequences that outperform standard methods at preserving coherence in simulated Carbon-13 spin bath environments.