AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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We investigate the effectiveness of artificial intelligences (AI)-specifically large language models (LLMs)-relative to human scientists at high-level cognitive tasks in social science such as theory formulation, predictions of novel empirical results, and theory revision in response to new evidence. The research domai...
Analysis of entanglement distillation and entanglement swapping at the level of the elementary building blocks of noisy quantum repeater networks provides instructive insights into the link-level principles that govern larger-scale architectures.
It is proved that accumulating and shuffling improves the expected success probability and the success-weighted output Bell fidelity over the baseline without accumulating and shuffling, for every finite number of accumulation rounds and in the asymptotic limit.
A hidden structure within MGT is uncovered -- after backpropagating the Pauli measurements, MGT protocols can be viewed as encoding the input state into a stabilizer code heralded by the measurement outcomes, followed by a logical non-Clifford gate.
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