Design and Quantum Cost Optimization of Ripple Counter using Information Reversal Logic Gates

Information reversal logic (IRL) has emerged as a promising research area with potential applications across various fields. This research study focuses on designing static circuits, including full adders, subtractors, multiplexers, and comparators, using reversal ripple counters to minimize quantum gate cost. These counters are constructed using CSWAP gates, known for their low quantum gate overhead. IRL is characterized by the one-to-one mapping between input and output patterns, enabling reversible operations. This property aligns with the second law of thermodynamics, preventing heat dissipation. Key concepts in IRL include fan-out and feedback. Due to its low energy consumption, IRL has applications in quantum computing, optics, nanotechnology, and low-power VLSI. This research compares the trash output, quantum gate cost, and gate count of the designed circuits, which are simulated using T-Spice Tools v16.0.

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Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/icicnis64247.2024.10823165
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.35
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Design and Quantum Cost Optimization of Ripple Counter using Information Reversal Logic Gates

K. Vidhya, R. Kannan
1 citations
Quantum Computing Algorithms and Architecture
0.35
article

Design and Quantum Cost Optimization of Ripple Counter using Information Reversal Logic Gates

K. Vidhya, R. Kannan
article en
1 citations

Abstract

Information reversal logic (IRL) has emerged as a promising research area with potential applications across various fields. This research study focuses on designing static circuits, including full adders, subtractors, multiplexers, and comparators, using reversal ripple counters to minimize quantum gate cost. These counters are constructed using CSWAP gates, known for their low quantum gate overhead. IRL is characterized by the one-to-one mapping between input and output patterns, enabling reversible operations. This property aligns with the second law of thermodynamics, preventing heat dissipation. Key concepts in IRL include fan-out and feedback. Due to its low energy consumption, IRL has applications in quantum computing, optics, nanotechnology, and low-power VLSI. This research compares the trash output, quantum gate cost, and gate count of the designed circuits, which are simulated using T-Spice Tools v16.0.

Saveetha University (IN)
Openalex Percentile: Top 30%
Quantum Computing Algorithms and Architecture
0.35
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