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Quantum Cooperation

机译:量子合作

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In a theoretical simulation the cooperation of two insects is investigated who share a large number of maximally entangled EPR-pairs to correlate their probabilistic actions. Specifically, two distant butterflies must find each other. Each butterfly moves in a chaotic form of short flights, guided only by the weak scent emanating from the other butterfly. The flight directions result from classical random choices. Each such decision of an individual is followed by a read-out of an internal quantum measurement on a spin, the result of which decides whether the individual shall do a short flight or wait. These assumptions reflect the scarce environmental information and the small brains’ limited computational capacity. The quantum model is contrasted to two other cases: In the classical case the coherence between the spin pairs gets lost and the two butterflies act independently. In the super classical case the two butterflies read off their decisions of whether to fly or to wait from the same internal list so that they always take the same decision as if they were super correlated. The numerical simulation reveals that the quantum entangled butterflies find each other with a much shorter total flight path than in both classical models.
机译:在理论模拟中,研究了两种昆虫的合作关系,它们共享大量最大纠缠的EPR对以关联其概率行为。具体来说,两只远处的蝴蝶必须互相发现。每只蝴蝶仅在另一只蝴蝶发出的微弱气味的引导下,以短途飞行的混乱形式运动。飞行方向来自经典随机选择。每个人做出这样的决定后,都会读取自旋中的内部量子测量结果,其结果决定该人是短途飞行还是等待。这些假设反映了稀缺的环境信息和小脑子有限的计算能力。量子模型与其他两种情况形成对比:在经典情况下,自旋对之间的相干性丧失,并且两只蝴蝶独立地起作用。在超经典情况下,两只蝴蝶从相同的内部清单中读出是要飞行还是要等待的决定,因此它们总是像超级相关一样做出相同的决定。数值模拟表明,与两个经典模型相比,量子纠缠的蝴蝶发现彼此的总飞行路径要短得多。

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