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Spin Inspired Representations

旋转启发的表示

基本信息

批准号：
EP/R032823/1
负责人：
Susan Stepney
金额：
$ 64.69万
依托单位：
University of York
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2018
资助国家：
英国
起止时间：
2018 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FR032823%2F1
关键词：
Spin Inspired Representations

项目摘要

Unconventional computing (UComp) devices are based on a diverse range of physical substrates, from atomic switch networks to carbon nanotubes, from liquid crystals to slime moulds. One goal of UComp is to exploit the properties of each substrates to compute somehow "better'' than its classical counterpart. This might be faster, or with less power, of in a device that can be more easily embedded/embodied in a larger system. To do so, it is important to have a computational model that fits "naturally'' on the material, rather than attempt to impose an inappropriate model that fights its implementation. Exploitation of these novel substrates desperately needs a principled general methodology for determining such natural models. Representation is central to software development: design the correct representation and operations on it (the algebra of the representation), and the task is half done. All classical computing representations, no matter how high level the language (strings, arrays, lists, graphs, structures, dictionaries, databases, ...), ultimately reduce to the basic unit of the bit, and bitwise operations. In other computational domains, this basic unit may be different: the qubit in quantum computing; the real number in continuous analogue computing; other low level representations in other UComp substrates. However, UComp fields currently have under-researched and therefore under-developed higher-order representations, leaving their programming closer to an "assembly language'' level, with all its problems of lack of abstraction and usability. This is holding back the application of novel computational materials.SpInspired will develop a methodology for discovering and exploiting good natural computational models of material computing, and for determining appropriate basic units that are both mathematically rich (so that they can be composed and combined into higher order representations) and efficiently physically realisable (so that they can be exploited as powerful combinational devices in unconventional domains and applications). We will do so by exploiting two diverse exemplar "sandpit" systems -- the well-characterised rich physical process of NMR spectroscopy, and ill-characterised carbon nanotube disordered material -- to guide the generic framework development. The successful project outcome will be a generic UComp development framework that will establish the gold standard for characterisation, analysis and comparison of different in materio computing systems. No such framework currently exists, which places a significant limitation of scope and general exploitation of current research undertaken in this field, as results are ad hoc and material-specific.

非传统计算(UComp)设备基于各种物理衬底，从原子开关网络到碳纳米管，从液晶到黏菌。UComp的目标之一是利用每种基板的特性，以某种方式计算出比经典基板“更好”的东西。这可能会更快，或者更省电，因为它可以更容易地嵌入/体现在更大的系统中。要做到这一点，重要的是要有一个“自然”适合材料的计算模型，而不是试图强加一个不合适的模型来对抗其实现。开发这些新的底物迫切需要一种原则性的通用方法来确定这种自然模型。表示是软件开发的核心：设计正确的表示和对其的操作(表示的代数)，任务就完成了一半。所有经典的计算表示法，无论语言级别有多高(字符串、数组、列表、图形、结构、词典、数据库等)，最终都简化为位的基本单位和按位运算。在其他计算领域，这个基本单位可能不同：量子计算中的量子比特；连续模拟计算中的实数；其他UComp衬底中的其他低级别表示。然而，UComp领域目前对高阶表示的研究不足，因此开发不足，使得它们的编程更接近于“汇编语言”级别，其所有问题都是缺乏抽象性和可用性。这阻碍了新型计算材料的应用。Spspirred将开发一种方法，用于发现和利用材料计算的良好自然计算模型，并确定适当的基本单元，这些基本单元在数学上丰富(以便它们可以被组合和组合成更高阶的表示)，并且可以有效地在物理上实现(以便它们可以作为非传统领域和应用中的强大组合设备)。为此，我们将利用两个不同的样本“沙坑”系统--特征良好的核磁共振光谱丰富的物理过程，和特征不佳的碳纳米管无序材料--来指导通用框架的开发。成功的项目成果将是一个通用的UComp开发框架，它将为不同材料计算系统的特征、分析和比较建立黄金标准。目前还没有这样的框架，这大大限制了目前在这一领域进行的研究的范围和一般利用，因为结果是特别的和具体材料的。