OPTIMIZING ZX-DIAGRAMS WITH DEEP REINFORCEMENT LEARNING

Optimizing ZX-diagrams with deep reinforcement learning

ZX-diagrams are a powerful graphical language for the description of quantum processes with applications in fundamental quantum mechanics, quantum circuit optimization, tensor network simulation, and many more.The utility of read more ZX-diagrams relies on a set of local transformation rules that can be applied to them without changing the underlyi

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Largest scale successful real-time evacuation after the Wenchuan earthquake in China: lessons learned from the Zengda gully giant debris flow disaster

A catastrophic debris flow occurred in the Zengda gully, a branch of the Dajinchuan River in Zengda town, Jinchuan County, Sichuan Province, China.The successful implementation of a real-time evacuation avoided 820 casualties for people living in 200 settlements.This was the largest-scale successful real-time evacuation for a debris flow disaster a

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