Reservoir computing with MEMS resonators

这项工作的目的是检查时间复用油藏计算策略是否可以实现SAW设备的非线性处理。如果这是可能的，它将允许在比竞争光学实现小10^5的基板上执行高性能实时学习。这将允许将储层计算机的高性能实现添加到轻量级和便携式设备中。为了评估研究计划，将制作定制的表面声波谐振器，并设计和实施新的实验装置。设计了一系列SAW谐振器和其他SAW器件，并打算进行测试。通过京都大学和纳米中心的设备，制造成为可能。在SAW设备成功制造之后，油藏计算系统可以通过设计和建造支撑设备进行测试。然后，通过应用成熟的油藏计算基准任务，可以将生成的油藏计算机与其他实现进行比较，从而可以直接比较一种技术与另一种技术。在这种情况下，我们选择二进制奇偶校验任务。用电子存储器代替声表面波延迟线，成功实现了声表面波谐振腔储存器计算机。这是使用SAW器件的储层计算机的首次演示，为实现物理尺寸完全集成的延迟线储层计算机铺平了道路，该计算机可用于便携式电子设备。

The goal of this work is to examine if the time-multiplexed reservoir computing strategy can enable non-linear processing for SAW devices. If this is shown to be possible, it would allow high performance real-time learning to be performed on a substrate 10^5 times smaller than competing optical implementations. This would allow high performance implementations of reservoir computer to be added to lightweight and portable devices.To evaluate the research proposal, custom Surface Acoustic Wave resonators are to be fabricated, and new experimental apparatus designed and implemented. A range of SAW resonators, and other SAW devices are designed, and intended to be tested. The fabrication is possible through use Kyoto University and the Nano-hub’s equipment.Following successful fabrication of the SAW devices, the reservoir computing system can be tested by designing and building supporting apparatus.The resulting reservoir computer can then be compared to other implementations through the application of well-established reservoir computing benchmark tasks, which will allow direct comparison of one technology to another. In this case, we select the binary parity task.A SAW resonator reservoir computer has been successfully implemented, using electronic memory in place of a SAW delay line. This is the first demonstration of a reservoir computer using a SAW devices, and can pave the way to a fully integrated delay line reservoir computer at a physical size which is practical for use in portable electronics.