基于SyReC的可扩展可逆逻辑电路的研制
Development of SyReC based expandable reversible logic circuits
摘要：
可逆计算由于其各种各样的承诺而获得了研究人员的高度兴趣。可逆逻辑的一个突出优点是，在手头有许多可逆门的情况下降低了功耗，设计可逆电路（组合电路）已经得到了应有的关注和成就。一个建议的语言描述可逆电路，即SyReC，也到位。剩下的是软件工具，这将有助于通过模拟进行可逆电路合成。从最小的可逆电路实现的SyReC语句和表达式开始，我们采用分层的方法来开发一个完整的可逆电路，完全从它的SyReC代码。我们把它作为一个软件工具来实现。该工具允许用户根据其输入的位宽度来扩展选择的可逆电路。本文还提出了可逆电路展开的背景方法。此外，用户可以使用该工具来观察扩展对所产生的成本的影响，包括线路数量、门数量和量子成本的增加。不仅从分析的角度来看，而且因为成本取决于用于扩展的方法，所以观察成本相对于扩展规模的变化是重要的。本论文亦提出一种可逆式电梯控制器之电路设计（组合式）及相关成本.其目的是强调使用所提出的方法是设计定制的电路。
英文摘要：
Reversible computing is gaining high interest from researchers due to its various promises. One of the prominent advantages perceived from reversible logic is that of reduced power dissipation with many reversible gates at hand, designing a reversible circuit (combinational) has received due attention and achievement. A proposed language for description of reversible circuit, namely SyReC, is also in place. What remain are the software tools which would help in reversible circuit synthesis through simulation. Beginning with the smallest reversible circuit realizations the SyReC statements and expressions, we employ a hierarchal approach to develop a complete reversible circuit, entirely from its SyReC code. We implement this as a software tool. The tool allows a user to expand a reversible circuit of choice in terms of bit width of its inputs. The background approach of expansion of a reversible circuit has also been proposed as a part of this dissertation. Also, a user can use the tool to observe the effect of expansion on incurred costs, in terms of increase in number of lines, number of gates and quantum cost. The importance of observing the change in costs with respect to scale of expansion is important not only from analysis point of view, but also because the cost depends on the approach used for expansion. This dissertation also proposes a reversible circuit design for elevator controller (combinational) and the related costs. The aim is to emphasize use of the proposed approach is designing customized circuits.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
