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Energy dissipation dataset for reversible logic gates in quantum dot-cellular automata.
Ali Newaz Bahar1, Mohammad Maksudur Rahman2, Nur Mohammad Nahid1
1Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Bangladesh.
Data in Brief
|January 11, 2017
Summary
This study quantifies energy dissipation in quantum-dot cellular automata (QCA) reversible logic gates. Findings provide crucial data for optimizing low-power QCA circuit design.
Area of Science:
- Quantum Computing
- Nanotechnology
- Solid State Physics
Background:
- Reversible logic gates are essential for reducing energy dissipation in computing.
- Quantum-dot cellular automata (QCA) offer a promising paradigm for low-power, high-density computing architectures.
- Understanding energy dissipation in QCA devices is critical for their practical implementation.
Purpose of the Study:
- To present a comprehensive dataset on the energy dissipation of various reversible logic gates implemented in QCA technology.
- To analyze the impact of different tunneling energy levels on the energy dissipation characteristics of these gates.
- To establish a benchmark for energy efficiency in QCA-based computational elements.
Main Methods:
- Design and simulation of reversible logic gates using the QCADesigner tool.
- Calculation of energy dissipation for the designed QCA circuits.
- Investigation of energy dissipation under three distinct tunneling energy levels at a constant temperature of 2 Kelvin.
- Utilizing the QCAPro tool for accurate estimation of energy dissipation.
Main Results:
- Quantified energy dissipation values for multiple reversible logic gates in QCA.
- Demonstrated correlation between tunneling energy levels and overall gate energy dissipation.
- Provided a dataset of energy dissipation metrics at cryogenic temperatures (2 K).
Conclusions:
- The presented dataset offers valuable insights into the energy efficiency of QCA reversible logic gates.
- The findings highlight the importance of selecting appropriate tunneling energy levels to minimize power consumption in QCA circuits.
- This work contributes to the advancement of low-power nanoelectronic computing systems based on QCA technology.
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