Designing a Novel Nano-Metric Reversible n-Bit Signed-Magnitude Adder/Subtractor
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
View: 483
This Paper With 22 Page And PDF and WORD Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
COMCONF03_369
تاریخ نمایه سازی: 6 اردیبهشت 1396
Abstract:
The reversible logic is the new generation of circuits considered as one of the major scientific issues in today s world. Nowadays, reversible circuits are widely studied due to their advantages such as zero energy dissipation, retaining the information, zero heat dissipation and one to one correspondence between the inputs and outputs over traditional irreversible circuits. These circuits have some main applications, for instance, in nanotechnology-based systems, quantum computing and low power CMOS design. In this paper, a novel reversible four-bit signed-magnitude adder/subtractor is proposed which could be extended for reversible n-bit signed-magnitude adder/subtractor. Also, a new gate is introduced which is applied as a multiplexer. Then, the proposed reversible n-bit signed-magnitude adder/subtractor is evaluated and formulated in terms of reversible gate count, number of garbage outputs, number of constant inputs, quantum cost and hardware complexity. We also propose an optimized reversible signed-two’s complement adder/subtractor and the overflow detection circuit in [-2^(n-1),2^(n-1)-1]. All the scales are in nano-metric area.
Keywords:
reversible logic , nanotechnology based systems , quantum computing , reversible signed-magnitude adder/subtractor , reversible signed-two’s complement adder/subtractor
Authors
Nayereh Hosseini Nia
Department of computer Engineering, Payame Noor University, PO Box 19395-3697 Tehran, Iran
Soudabeh Boroumand
Young Researchers and Elite Club, Tabriz Branch, Islamic Azad University, Tabriz, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :