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Petri Nets, Discrete Physics, and Distributed Quantum Computation

机译:Petri网,离散物理和分布式量子计算

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The genius, the success, and the limitation of process calculi is their linguistic character. This provides an ingenious way of studying processes, information flow, etc. without quite knowing, independently of the particular linguistic setting, what any of these notions are. One could try to say that they are implicitly defined by the calculus. But then the fact that there are so many calculi, potential and actual, does not leave us on very firm ground. An important quality of Petri's conception of concurrency is that it does seek to determine fundamental concepts: causality, concurrency, process, etc. in a syntax-independent fashion. Another important point, which may originally have seemed merely eccentric, but now looks rather ahead of its time, is the extent to which Petri's thinking was explicitly influenced by physics (see e.g. [7]. As one example, note that K-density comes from one of Carnap's axiomatizations of relativity). To a large extent, and by design, Net Theory can be seen as a kind of discrete physics: lines are time-like causal flows, cuts are space-like regions, process unfoldings of a marked net are like the solution trajectories of a differential equation. This acquires new significance today, when the consequences of the idea that "Information is physical" are being explored in the rapidly developing field of quantum informatics. (One feature conspicuously lacking in Petri Net theory is an account of the non-local information flows arising from entangled states, which play a key role in quantum informatics. Locality is so plausible to us — and yet, at a fundamental physical level, apparently so wrong!). Meanwhile, there are now some matching developments on the physics side, and a greatly increased interest in discrete models. As one example, the causal sets approach to discrete spacetime of Sorkin et al. [8] is very close in spirit to event structures. My own recent work with Bob Coecke on a categorical axiomatics for Quantum Mechanics, adequate for modelling and reasoning about quantum information and computation, is strikingly close in the formal structures used to my earlier work on Interaction Categories — which represented an attempt to find a more intrinsic, syntax-free formulation of concurrency theory; and on Geometry of Interaction, which can be seen as capturing a notion of interactive behaviour, in a mathematically rather robust form, which can be used to model the dynamics of logical proof theory and functional computation. The categorical formulation of Quantum Mechanics admits a striking (and very useful) diagrammatic presentation, which suggests a link to geometry — and indeed there are solid connections with some of the central ideas relating geometry and physics which have been so prominent in the mathematics of the past 20 years.
机译:天才,成功和过程计算的局限性是它们的语言特征。这提供了一种研究过程,信息流等的巧妙方式,而不必完全依赖于特定的语言环境而完全不知道这些概念是什么。可以尝试说它们是由演算隐式定义的。但是,事实上,存在着如此众多的潜在和实际的结石事实,并不能使我们处于非常坚定的立场。 Petri并发概念的一个重要特征是,它确实试图以与语法无关的方式确定基本概念:因果关系,并发,过程等。另一个重要的观点,本来似乎只是古怪的,但现在看起来比它的时代要早得多,这是皮特里的思想受到物理学的显着影响的程度(例如参见[7]。例如,请注意,K密度来自Carnap的相对论公理化)。在很大程度上,从设计的角度来看,网理论可以看作是一种离散的物理学:线是像时间一样的因果流,切割是像空间一样的区域,标记网的过程展开像微分的解轨迹一样方程。今天,在迅速发展的量子信息学领域中探索“信息是物理的”思想的后果时,这具有新的意义。 (Petri网理论中明显缺乏的一个特征是对纠缠态产生的非局部信息流的解释,这些纠缠态在量子信息学中起着关键作用。局域性对我们如此合理,但在基本物理水平上,显然大错特错!)。同时,现在在物理方面有一些匹配的发展,并且对离散模型的兴趣大大增加。例如,Sorkin等人的离散时空的因果集方法。 [8]在精神上非常接近事件结构。我最近与鲍勃·科克(Bob Coecke)合作开展的有关量子力学分类公理学的研究,该研究足以进行有关量子信息和计算的建模和推理,与我之前在“相互作用类别”上的工作所使用的形式结构非常接近,这表明人们试图寻找更多的形式。并发理论的内在,无语法表述;关于交互的几何学,可以看作是以数学上相当健壮的形式捕获了交互行为的概念,可以用来对逻辑证明理论和函数计算的动力学建模。量子力学的分类表述引人注目(且非常有用)的图解表示,它暗示了与几何学的联系-实际上,与几何学和物理学有关的一些中心思想之间存在着牢固的联系,这些中心思想在物理学中非常突出。过去20年

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