量子点元胞自动机串行十进制数字乘法器

IF 2.2 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Michael Gladshtein
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引用次数: 0

摘要

量子点元胞自动机(QCA)技术被认为是未来计算设备的一种可能的纳米电子技术。QCA线的主导作用使其更适合串行数据传输/处理。许多现代计算机应用要求直接处理无表示和转换错误的十进制信息。本课题的主要目的是设计一种新型的QCA串行十进制乘法器。一个QCA线可以被看作是一个写有二进制符号的虚拟磁带。所设计的乘法器使用图灵机运行时多磁带重构来乘5位约翰逊-莫比乌斯码编码的两个十进制数字。提议的乘数已成功通过验证。与可能的QCA BCD乘法器相比,它显示出显著的硬件简化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantum-dot cellular automata serial decimal digit multiplier

The quantum-dot cellular automata (QCA) technology is considered as a possible nanoelectronic technology for future computing facilities. The leading role of QCA wires makes it preferable for serial data transfer/processing. Many modern computer applications require direct processing of decimal information without representation and conversion errors. The main purpose of the research is to design a novel QCA serial decimal digit multiplier. A QCA wire can be considered as a virtual tape with written binary symbols. The designed multiplier uses the Turing machine run-time multiple tapes reconfiguration to multiply two decimal digits encoded in the 5-bit Johnson–Mobius code. The proposed multiplier has successfully passed verification. In comparison with possible QCA BCD multipliers, it shows significant hardware simplification.

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来源期刊
Journal of Computational Electronics
Journal of Computational Electronics ENGINEERING, ELECTRICAL & ELECTRONIC-PHYSICS, APPLIED
CiteScore
4.50
自引率
4.80%
发文量
142
审稿时长
>12 weeks
期刊介绍: he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered. In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.
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