Geometric complexity of physical maps is bounded below by execution error, forcing divergent resources for zero-error state resets in both classical and quantum settings.
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A tunable mixing parameter p in random quantum circuits controls the transition from classically simulable to expressive quantum reservoir dynamics via entanglement and nonstabilizer content.
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Geometric complexity in thermodynamics
Geometric complexity of physical maps is bounded below by execution error, forcing divergent resources for zero-error state resets in both classical and quantum settings.
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Optimal quantum reservoir learning in proximity to universality
A tunable mixing parameter p in random quantum circuits controls the transition from classically simulable to expressive quantum reservoir dynamics via entanglement and nonstabilizer content.