Thesis title: Frontiers in Magnetism

论文题目：磁学前沿

• 批准号: 2606326
• 金额: --
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2606326
• 关键词: Thesis; title; Frontiers; Magnetism

The end of Moore's Law is frequently predicted: the harbingers have been with us since 2004, when the progressive annual increase in computer clock speeds was frozen at around 4GHz to prevent the integrated circuits from overheating. A potential solution to this impasse is the introduction of new computing hardware whose operation is predicated on manipulating quasiparticles that may be used to store, transfer and process information with minimal energy cost. The quasiparticle with the most versatility and promise is the magnon. It's already proved its capabilities in a range of analogue and digital computing devices. Still, no hard and fast overall paradigm has yet been set for magnonic computing. Therein lies the attraction and motivation for our proposed research. A selection of eventual magnon computing architectures are possible. The most straightforward outcome is that it will transform the computing paradigms that we currently use and that are based on Abelian operation and Boolean algebra. In the unlikely event that magnonic computing potential goes this far and no further, it will still be a transformative step in computing technology which will enable Boolean computing to happen faster, use similar or smaller amounts of real estate and dissipate three orders of magnitude less heat for the same computing power. A much more ambitious question - the motivation of this thesis - is if the potential performance of magnonic computing could go beyond what silicon offers. To address this we are borrowing from approaches taken in Quantum Computing, aiming to develop a thorough algebraic understanding of the behaviour of magnonic devices and exploit this understanding to have a rigorous approach to magnonic systems architecture. Our strategy is to examine and formalise mathematically the algebraic tools available to us in three existing or projected areas of magnonics - wave computing devices, quantum-style logic gates and magnonic analogue devices - and to use this approach to develop higher levels of novel computer architectures that these basic algebraic tools are capable of supporting.Key questions we aim to address are: 1.What is the available fanout of this technology: that is the ability to couple outputs of one logic device into the inputs of more than one sequential device? This is a pivotal consideration in deciding the limits of what this technology is ultimately capable of.2.How in practice can we exploit the ability of magnon devices to apply different operations simultaneously to multiple datastreams running in parallel on different frequency channels?3. Can we run those datastreams sequentially through the same piece of hardware and perform different logical operations to the data on each passage. Specifically, can we take an output of a piece of hardware and inject it as an input to the same piece of hardware, but on a different channel?4.How can we arrange the physical signposting of such datastreams such that they get coupled to the correct processing channels without crosstalk? In this capacity, can we use the non-degenerate four wave mixing building block that we made and tested in our recent work on magnon phase conjugation and that has two useful characteristics: the output is frequency shifted relative to the input and it tracks back along exactly the same physical path?5. How can we interface such magnonic devices with one another and with conventional electronics in a way that is both energy efficient and is capable of transferring data reliably from wave to pulse format?6. Are we capable of making magnonic devices with similar algebraic properties to quantum computing style logic elements and can these be used to improve or streamline existing magnonic logic configurations?7. What role is there for analogue magnonic processors and can they be integrated successfully with digital wave technology?Collaborators: EcotricityAlignment with EPSRC aims: Novel Computing Parad

摩尔定律的终结经常被预言：自2004年以来，预兆就一直伴随着我们，当时计算机时钟速度的逐年增长被冻结在4GHz左右，以防止集成电路过热。解决这一僵局的一个潜在方案是引入新的计算硬件，其操作基于操纵准粒子，这些准粒子可用于以最小的能量成本存储、传输和处理信息。最具多样性和前景的准粒子是磁振子。它已经在一系列模拟和数字计算设备中证明了其能力。尽管如此，还没有为magnonic计算设置硬而快的整体范式。这就是我们提出研究的吸引力和动机。一个最终的磁振子计算架构的选择是可能的。最直接的结果是，它将改变我们目前使用的基于阿贝尔运算和布尔代数的计算范式。在不太可能的情况下，磁振子计算潜力走到这一步，而不是更远，它仍然是计算技术中的一个变革性步骤，这将使布尔计算发生得更快，使用类似或更少量的真实的资产，并在相同的计算能力下消耗三个数量级的热量。一个更雄心勃勃的问题-本论文的动机-是磁子计算的潜在性能是否可以超越硅提供的。为了解决这个问题，我们借鉴了量子计算中的方法，旨在对磁振子设备的行为进行彻底的代数理解，并利用这种理解对磁振子系统架构进行严格的研究。我们的策略是在现有的或计划中的三个磁振子领域--波计算设备、量子逻辑门和磁振子模拟设备--对我们可用的代数工具进行数学上的检验和形式化，并使用这种方法来开发这些基本代数工具能够支持的更高水平的新型计算机架构。我们旨在解决的关键问题是：1.该技术的可用扇出是什么：即将一个逻辑器件的输出耦合到多个时序器件的输入的能力？这是一个关键的考虑，在决定什么样的技术是最终能够的限制。2.在实践中，我们如何才能利用磁振子设备的能力，同时应用不同的操作，以多个数据流并行运行在不同的频率通道？3.我们是否可以通过同一块硬件顺序运行这些数据流，并对每个通道上的数据执行不同的逻辑操作。具体来说，我们是否可以将一个硬件的输出作为输入注入到同一个硬件，但在不同的通道上？4.我们如何安排这些数据流的物理标记，使它们耦合到正确的处理通道而不产生串扰？在这种能力下，我们是否可以使用非简并四波混频构建块，我们在最近的磁振子相位共轭工作中制作并测试了它，它具有两个有用的特性：输出相对于输入是频移的，并且它沿着沿着完全相同的物理路径返回？5.我们如何将这种磁振子设备相互连接，并与传统电子设备连接，既节能又能够可靠地将数据从波转换为脉冲格式？6.我们是否能够制造出具有与量子计算风格的逻辑元件类似的代数特性的磁振子设备，以及这些设备是否可以用于改进或简化现有的磁振子逻辑配置？7.模拟磁处理器的作用是什么？它们能否成功地与数字波技术相结合？合作者：EcotricityAlliance with EPSRC aims：Novel Computing Parad