设计具有成本效益的高速量子可逆携带选择加法器

IF 5.1 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Transactions on Emerging Topics in Computing Pub Date : 2023-11-20 DOI:10.1109/TETC.2023.3332426
Shekoofeh Moghimi;Mohammad Reza Reshadinezhad;Antonio Rubio
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引用次数: 0

摘要

与经典计算实现相比,可逆算术加法器为在数字系统和特定应用(如密码学和自然语言处理)中实现量子计算模型提供了一个宝贵的平台。可逆逻辑能有效防止热耗散造成的能量浪费。本研究全面探讨了基于量子和可逆逻辑的新型携带选择加法器(CSLA)。与之前发布的方案相比,本研究提出并比较了五种可逆 CSLA 设计,评估了各种标准,包括速度、量子成本和面积。这些比较指标是针对任意 n 位大小的区块制定的。每种设计类型都有通用描述,能够实现任意大小的带选加法器。作为最佳成果,本研究提出了一种优化的可逆加法器电路,可解决量子传播延迟问题,与同类方案相比,在量子成本上实现了可接受的权衡。本文将 16、32、64 和 128 位的计算延迟分别减少了 66%、73%、82% 和 87%,同时在所有情况下都保持了较低的量子成本。
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Toward Designing High-Speed Cost-Efficient Quantum Reversible Carry Select Adders
Compared to classical computing implementations, reversible arithmetic adders offer a valuable platform for implementing quantum computation models in digital systems and specific applications, such as cryptography and natural language processing. Reversible logic efficiently prevents energy wastage through thermal dissipation. This study presents a comprehensive exploration introducing new carry-select adders (CSLA) based on quantum and reversible logic. Five reversible CSLA designs are proposed and compared, evaluating various criteria, including speed, quantum cost, and area, compared to previously published schemes. These comparative metrics are formulated for arbitrary n-bit size blocks. Each design type is described generically, capable of implementing carry-select adders of any size. As the best outcome, this study proposes an optimized reversible adder circuit that addresses quantum propagation delay, achieving an acceptable trade-off with quantum cost compared to its counterparts. This article reduces calculation delay by 66%, 73%, 82%, and 87% for 16, 32, 64, and 128 bits, respectively, while maintaining a lower quantum cost in all cases.
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来源期刊
IEEE Transactions on Emerging Topics in Computing
IEEE Transactions on Emerging Topics in Computing Computer Science-Computer Science (miscellaneous)
CiteScore
12.10
自引率
5.10%
发文量
113
期刊介绍: IEEE Transactions on Emerging Topics in Computing publishes papers on emerging aspects of computer science, computing technology, and computing applications not currently covered by other IEEE Computer Society Transactions. Some examples of emerging topics in computing include: IT for Green, Synthetic and organic computing structures and systems, Advanced analytics, Social/occupational computing, Location-based/client computer systems, Morphic computer design, Electronic game systems, & Health-care IT.
期刊最新文献
Table of Contents Front Cover IEEE Transactions on Emerging Topics in Computing Information for Authors Special Section on Emerging Social Computing DALTON - Deep Local Learning in SNNs via local Weights and Surrogate-Derivative Transfer
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