Optimized plasmonic reversible logic gate for low loss communication

Abstract

With the development of plasmonic optical waveguides, numerous nanostructures based on different materials can be fabricated in a controlled way. While doing reversible computing, reversible logic gates are the necessary requirement to reduce the loss of information with less power consumption. The proposed design of the Feynman logic gate is simulated by a cascading metal-insulator-metal optical waveguide based on Mach–Zehnder interferometers. The footprint of the proposed Feynman logic gate is 62 µ m × 9 µ m , the extinction ratio is 10.57 dB, and the insertion loss is − 0.969 d B and − 1.191 d B , which is much better compared to an electro-optic-based exiting Feynman logic gate. The results are obtained by simulating the proposed structure using the finite difference time domain method and verified by using mathematical computation in MATLAB.

Optical scheme of developing Hamming code-based error detection and correction using Toffoli gates with frequency encoded data

“…These whole processes can be implemented using conventional logic gates. But according to Landauer’s statement, during the transmission of data, the logic system dissipates some energy due to the loss of each bit of information 12 , 13 . The amount of energy lost is equal to KT*log 2 joules, where K is Boltzmann’s constant and T represents the absolute temperature 12 , 13 .…”

“…But according to Landauer’s statement, during the transmission of data, the logic system dissipates some energy due to the loss of each bit of information 12 , 13 . The amount of energy lost is equal to KT*log 2 joules, where K is Boltzmann’s constant and T represents the absolute temperature 12 , 13 . To deal with a huge amount of data, larger numbers of logic processors are required, and the amount of energy dissipation becomes significantly large.…”

“…To deal with a huge amount of data, larger numbers of logic processors are required, and the amount of energy dissipation becomes significantly large. This shortcoming can be reduced significantly, with the performance of all of the required computations and logical operations using reversible logic 13 . In a Toffoli gate, there is one-to-one mapping between inputs and outputs, as the number of outputs is equal to the number of inputs.…”

“…12,13 The amount of energy lost is equal to KT Ã log 2 joules, where K is Boltzmann's constant and T represents the absolute temperature. 12,13 To deal with a huge amount of data, larger numbers of logic processors are required, and the amount of energy dissipation becomes significantly large. This shortcoming can be reduced significantly, with the performance of all of the required computations and logical operations using reversible logic.…”

“…This shortcoming can be reduced significantly, with the performance of all of the required computations and logical operations using reversible logic. 13 In a Toffoli gate, there is one-to-one mapping between inputs and outputs, as the number of outputs is equal to the number of inputs. Based on this logic, the inputs can be recovered from the outputs, and the computation remains nearly free from loss of information.…”