Effective Designs of Reversible Vedic Multiplier

Abstract

Power dissipation problem is one of the most challenging problems in designing conventional electronic circuits. One of the best approaches to overcome this problem is to design reversible circuits. Nowadays, reversible logic is considered as a new field of study that has various applications such as optical information processing, design of low power CMOS circuits, quantum computing, DNA computations, bioinformatics and nanotechnology. Due to the vulnerability of the digital circuits to different environmental factors, the design of circuits with error-detection capability is considered a necessity. Parity preserving technique is known as one of the most famous methods for providing error-detection ability. Multiplication operation is considered as one of the most important operations in computing systems, which can play a significant role in increasing the efficiency of such systems. In this paper, two efficient 4-bit reversible multipliers are proposed using the Vedic technique. The Vedic technique is able to increase the speed of multiplication operation by producing partial products and their sums simultaneously in a parallel manner. The first architecture lacks the parity preserving potential, while the second architecture has the ability parity preserving. Since a 4-bit Vedic multiplier includes 2-bit Vedic multipliers and 4-bit ripple carry adders (RCA), so in the first design, TG, PG and FG gates have been used to design an efficient 2-bit reversible Vedic multiplier, as well as PG gate and HNG block have been applied as a half-adder (HA) and full-adder (FA) in the 4-bit RCAs. Also, in the second design, 2-bit parity preserving reversible Vedic multiplier has been designed using FRG, DFG, ZCG and PPTG gates as well as ZCG and ZPLG blocks have been utilized as HA and FA in the 4-bit RCAs. Proposed designs are compared in terms of evaluation criteria of circuits such as gate count (GC), number of constant inputs (CI), number of garbage outputs (GO), quantum cost (QC), and hardware complexity. The results of the comparisons indicate that the proposed designs are more efficient compared to available counterparts.