AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A simple repeat-until-success protocol is introduced that makes entanglement consumption adaptive to interaction strength and yields a total entanglement cost that scales linearly with evolution time and remains independent of Trotter error.
A scalable fault-tolerant framework that combines coherent observable estimation with a space-time-efficient implementation of non-Clifford rotations is introduced, suppressing the residual logical errors that limit existing partially fault-tolerant approaches.
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