Realization of Various Gate level Combinational Circuits using Reversible Fredkin Gate
Greeshma Arya1, D. S. Chauhan2
1Greeshma Arya*, Department of ECE, UTU, Dehradun, India.
2Prof. D. S. Chauhan, Department of Electrical Engineering, IT BHU, Varanasi, India.
Manuscript received on January 21, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 29, 2020. | PP: 4145-4150 | Volume-9 Issue-3, February 2020. | Retrieval Number: C6565029320/2020©BEIESP | DOI: 10.35940/ijeat.C6565.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents the digital logic gates which are reconstructed using fredkin gate [1]. The advantage of basic fredkin gate is that we could save the thermal waste which comes out due to computation that causes heat as bits just disappear into loss of energy. Such computation won’t need any energy input. These assumptions make the gates sound like an energy efficient solution. However the implementation is done at level of logic gates. This can further be used in sequential circuits to increase the life time of transmitter and receiver circuitry of nodes. It will make the transmission and aggregation of information at node very energy efficient. The drawback of this application is it will cost fare amount of time to process data. These technical hurdles will increase latencies at node level. The protocols infused with energy optimization methods and reversible logic gates offered noticeable improvements in achieving performance and ensuring security of data and graphics. Since the 1980s, with work of Fredkin [1], the reversible circuits have been used in building large scale integration of circuits as elementary units of mobile computing, and recently in wireless networks, drug designing and ultra-fast computing technologies [4].
Keywords: Entropy, Fredkin gate, Quantum Computing, Reversible Computing.