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Relevant bibliographies by topics / Feynman gate

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Academic literature on the topic 'Feynman gate'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Feynman gate"

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Seyedi, Saeid, Akira Otsuki, and Nima Jafari Navimipour. "A New Cost-Efficient Design of a Reversible Gate Based on a Nano-Scale Quantum-Dot Cellular Automata Technology." Electronics 10, no. 15 (2021): 1806. http://dx.doi.org/10.3390/electronics10151806.

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Quantum-dot cellular automata (QCA) nanotechnology is a practical suggestion for replacing present silicon-based technologies. It provides many benefits, such as low power usage, high velocity, and an extreme density of logic functions on a chip. In contrast, designing circuits with no waste of information (reversible circuits) may further reduce energy losses. The Feynman gate has been recognized as one of the most famous QCA-based gates for this purpose. Since reversible gates are significant, this paper develops a new optimized reversible double Feynman gate that uses efficient arithmetic e

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Bhandari, Jugal. "A Novel Design Approach of Low Power Consuming Decoder using Reversible Logic Gates." International Journal of Advance Research and Innovation 4, no. 1 (2016): 95–101. http://dx.doi.org/10.51976/ijari.411614.

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In current scenario, the reversible logic design is attracting more interest due to its low power consumption. Reversible logic is very important in low-power circuit design. The important reversible gates used for reversible logic synthesis are Feynman Gate, Fredkin gate, toffoli gate, new gate and peres gate etc. Reversible Logic requires non-destruction of information. Therefore the number of inputs must be equal to the number of outputs. (If there were more outputs than inputs, the reverse direction wouldn't be reversible!). This paper presents a compact realization of quantum n-to-2n deco

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Zhou, Chunyang, Kun Wang, Daoqing Fan, et al. "An enzyme-free and DNA-based Feynman gate for logically reversible operation." Chemical Communications 51, no. 51 (2015): 10284–86. http://dx.doi.org/10.1039/c5cc02865e.

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Deng, Jiankang, Zhanhui Tao, Yaqing Liu, et al. "A target-induced logically reversible logic gate for intelligent and rapid detection of pathogenic bacterial genes." Chemical Communications 54, no. 25 (2018): 3110–13. http://dx.doi.org/10.1039/c8cc00178b.

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Tian, Yonghui, Zilong Liu, Tonghe Ying, et al. "Experimental demonstration of an optical Feynman gate for reversible logic operation using silicon micro-ring resonators." Nanophotonics 7, no. 1 (2018): 333–37. http://dx.doi.org/10.1515/nanoph-2017-0071.

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AbstractCurrently, the reversible logic circuit is a popular research topic in the field of information processing as it is a most effective approach to minimize power consumption, which can achieve the one-to-one mapping function to identify the input signals from its corresponding output signals. In this letter, we propose and experimentally demonstrate an optical Feynman gate for reversible logic operation using silicon micro-ring resonators (MRRs). Two electrical input signals (logic operands) are applied across the micro-heaters above MRRs to determine the switching states of MRRs, and th

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Tripathi, Devendra Kr. "Investigations with Reversible Feynman Gate and Irreversible Logic Schematics." Journal of Optical Communications 40, no. 4 (2019): 385–92. http://dx.doi.org/10.1515/joc-2017-0106.

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Abstract In the contemporary world there is enormous hike in communication engineering applications, outcome with massive heat dissipation from the processing nodes. So energy efficient information network is one of paramount issue nowadays. For that optical reversible computing could be a landmark with base as optical logic gate. Reduction in power dissipation, consumption could be accomplished through a blend of reversible and irreversible optical processing and the nodes may recuperate the data. Accordingly, in this article two designs with semiconductor optical amplifier, used as Mach–Zehn

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Sattibabu, Romala, and Pranabendu Ganguly. "Design of reversible optical Feynman gate using directional couplers." Optical Engineering 59, no. 02 (2020): 1. http://dx.doi.org/10.1117/1.oe.59.2.027104.

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Maity, Heranmoy, Arindam Biswas, Anita Pal, and Anup Kumar Bhattacharjee. "Design of BCD to Excess-3 code converter circuit with optimized quantum cost, garbage output and constant input using reversible gate." International Journal of Quantum Information 16, no. 07 (2018): 1850061. http://dx.doi.org/10.1142/s0219749918500612.

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In this paper, we have proposed the optimized BCD to Excess-3 code converter using reversible logic gate. BCD to Excess-3 code can be generated by adding “0011” to BCD number, but in the proposed work, addition is not required. The proposed reversible circuit can be designed using peres gate, Feynman gate and NOT gate optimized quantum cost, garbage output and constant input. The quantum cost (QC), garbage output and constant input of proposed reversible BCD to Excess-3 code converter are respectively 14, 1 and 1 which is better with respect to previously reported results. The improvement is,

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Kannan, R., and K. Vidhya. "Design of Combinational Circuits Using Reversible Decoder in Tanner Tools." Journal of Computational and Theoretical Nanoscience 17, no. 4 (2020): 1743–51. http://dx.doi.org/10.1166/jctn.2020.8436.

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Reversible logic is the emerging field for research in present era. The aim of this paper is to realize different types of combinational circuits like full-adder, full-subtractor, multiplexer and comparator using reversible decoder circuit with minimum quantum cost. Reversible decoder is designed using Fredkin gates with minimum Quantum cost. There are many reversible logic gates like Fredkin Gate, Feynman Gate, Double Feynman Gate, Peres Gate, Seynman Gate and many more. Reversible logic is defined as the logic in which the number output lines are equal to the number of input lines i.e., the

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Fratto, Brian E., Nataliia Guz, and Evgeny Katz. "Biomolecular Computing Realized in Parallel Flow Systems: Enzyme-Based Double Feynman Logic Gate." Parallel Processing Letters 25, no. 01 (2015): 1540001. http://dx.doi.org/10.1142/s0129626415400010.

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An enzyme system organized in a flow device with three parallel channels was used to mimic a reversible Double Feynman Gate (DFG) with three input and three output signals. Reversible conversion of NAD+ and NADH cofactors was used to perform XOR logic operations, while biocatalytic oxidation of NADH resulted in Identity operation working in parallel. The first biomolecular realization of a DFG gate is promising for integrating into complex biomolecular networks operating in future unconventional biocomputing systems, as well as for novel biosensor applications.

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Books on the topic "Feynman gate"

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Reversible Approximate Adder Using Feynman Gate in QCA. ASDF International, 2017.

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Book chapters on the topic "Feynman gate"

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Sattibabu, Romala, Pradip K. Dey, B. N. Shivakiran Bhaktha, and Pranabendu Ganguly. "An Optical Feynman Gate Using Cascaded Ti:LiNbO3 Directional Couplers." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-6164-7_19.

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Manna, Debasmita, Manali Dhar, Ananya Banerjee, Saradindu Panda, and Bansibadan Maji. "An Approach to Design an Efficient Reversible Logic Feynman Gate Using Quantum-Dot Cellular Automata." In Algorithms for Intelligent Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-9532-1_28.

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Bosu, Surajit, and Baibaswata Bhattacharjee. "All-Optical Feynman Gate Using Frequency Encoding Scheme, Add/Drop Multiplexer and Reflective Semiconductor Optical Amplifier with Simulative Verification." In Advances in Communication, Devices and Networking. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2004-2_3.

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Xu, Jin. "Protein Computing." In Biological Computing. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3870-3_12.

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Abstract Feynman’s vision of “developing computers at the molecular scale” led to the birth of the DNA computing model in 1994, followed by protein computing in 1995: a protein computing model of 2-state logic gates was proposed. Since then, many scholars have studied numerous protein logic gates, logic calculators, arithmetic calculators, protein computing models for solving NP-complete problems, protein storage and computing devices, etc. This chapter introduces some typical representatives.

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Sethi, Purnima, and Sukhdev Roy. "Ultrafast All-Optical Reversible Peres and Feynman-Double Logic Gates with Silicon Microring Resonators." In Transactions on Computational Science XXIV. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45711-5_2.

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Chen, Gang. "Introduction." In Nanoscale Energy Transport And Conversion. Oxford University PressNew York, NY, 2005. http://dx.doi.org/10.1093/oso/9780195159424.003.0001.

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Abstract The major sources of inspiration for this book are the recent rapid advancements in microtechnology and nanotechnology. Microtechnology deals with devices and materials with characteristic lengths in the range of submicron to micron scales (0.1-100 µm), while nanotechnology generally covers the length scale from 1 to 100 nm. For example, integrated circuits are now built on transistors with characteristic device length scales around 100 nm. The semiconductor industry roadmap predicts that, in 2010, the characteristic length in integrated circuits will further shrink to 25 nm (SEMATECH

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Metropolis, N., and S. Ulam. "The Monte Carlo method." In Quantum Monte Carlo. Oxford University PressNew York, NY, 2007. http://dx.doi.org/10.1093/oso/9780195310108.003.0002.

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Abstract In this paper Metropolis and Ulam gave a brief introduction to “the Monte Carlo method” which is described as a statistical approach to the study of differential equations as applied by Metropolis, Ulam, Fermi, von Neumann, Feynman, and others at the Los Alamos Laboratory in the 1940s.0 Several examples of applications of Monte Carlo calculations are given. These include predicting the probability of winning at the game of solitaire, calculating the volume of an irregular region in high-dimensional space, and solving the Fokker-Planck equation for diffusion and multiplication of nucle

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Javan, Gulnaz T. "Nanotechnology and Its Applications in Forensic and Criminal Cases." In Handbook of Research on Diverse Applications of Nanotechnology in Biomedicine, Chemistry, and Engineering. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6363-3.ch025.

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When Dr. Richard Feynman first gave the good news in 1959 that nanotechnology was on its way to change or perhaps transform the world of technology, many people might have considered his concepts too futuristic to be realized. Criminals, on the other hand, would not have known how effective nanotechnological tools would become in solving crimes in a few decades. Among some of the medical applications of the technology are drug production, diagnostics, and production of medical as well as forensic tools and devices. Forensic science can be described as the sum of scientific tests or techniques

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Lindsay, S. M. "What is Nanoscience?" In Introduction to Nanoscience. Oxford University PressOxford, 2009. http://dx.doi.org/10.1093/oso/9780199544202.003.0001.

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Abstract Nanoscience is about the phenomena that occur in systems with nanometer dimensions. Some of the unique aspects of nanosystems arise solely from the tiny size of the systems. Nano is about as small as it gets in the world of regular chemistry, materials science, and biology. The diameter of a hydrogen atom is about one-tenth of a nanometer, so the nanometer scale is the very smallest scale on which we might consider building machines on the basis of the principles we learn from everyday mechanics, using the 1000 or so hydrogen atoms we could pack into a cube of size 1 nm 1 nm 1 nm. If

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Conference papers on the topic "Feynman gate"

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Böck, Yannik N., Holger Boche, Zoe Garcia del Toro, and Frank H. P. Fitzek. "Feynman Meets Turing: The Uncomputability of Quantum Gate-Circuit Emulation and Concatenation." In 2024 IEEE International Symposium on Information Theory (ISIT). IEEE, 2024. http://dx.doi.org/10.1109/isit57864.2024.10619233.

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Maity, Goutam Kumar, Santi P. Maity, and Jitendra Nath Roy. "TOAD-based Feynman and Toffoli Gate." In Communication Technologies (ACCT). IEEE, 2012. http://dx.doi.org/10.1109/acct.2012.116.

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Ghosh, Arpita, Amit Jain, N. B. Singh, and Subir Kumar Sarkar. "Single electron threshold logic based Feynman gate implementation." In 2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN). IEEE, 2016. http://dx.doi.org/10.1109/icrcicn.2016.7813668.

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Prabhakar, Sanjay, James E. Raynolds, and Akira Inomata. "Gate control of a quantum dot single-electron spin through geometric phases: Feynman disentangling method." In SPIE Defense, Security, and Sensing, edited by Eric J. Donkor, Andrew R. Pirich, and Howard E. Brandt. SPIE, 2010. http://dx.doi.org/10.1117/12.856025.

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Chauhan, Chanderkanta, Amna Bedi, and Santosh Kumar. "Ultrafast optical reversible double Feynman logic gate using electro-optic effect in lithium-niobate based Mach Zehnder interferometers." In SPIE OPTO, edited by Ferechteh H. Teherani, David C. Look, and David J. Rogers. SPIE, 2017. http://dx.doi.org/10.1117/12.2250794.

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Khan, Mozammel H. A. "Quantum Realization of Quaternary Feynman and Toffoli Gates." In 2006 International Conference on Electrical and Computer Engineering. IEEE, 2006. http://dx.doi.org/10.1109/icece.2006.355314.

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7

Dwivedi, Shiva, Shubra Dubey, and Kanchan Sharma. "Development and Evaluation of QCA-Based Feynman and Double Feynman Gates: A Design and Analytical Study." In 2023 International Conference on IoT, Communication and Automation Technology (ICICAT). IEEE, 2023. http://dx.doi.org/10.1109/icicat57735.2023.10263694.

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Caballero, L. E. Pedraza, J. P. Vasco, P. S. S. Guimaraes, and Omar P. Vilela Neto. "All-optical Majority and Feynman gates in photonic crystals." In 2015 30th Symposium on Microelectronics Technology and Devices (SBMicro). IEEE, 2015. http://dx.doi.org/10.1109/sbmicro.2015.7298150.

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Khan, Mozammel H. A. "Single-Electron Transistor Based Implementation of NOT, Feynman, and Toffoli Gates." In 2015 IEEE International Symposium on Multiple-Valued Logic (ISMVL). IEEE, 2015. http://dx.doi.org/10.1109/ismvl.2015.12.

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Ghazali, N. F., M. H. A. Wahid, N. A. M. Ahmad Hambali, N. Juhari, and M. M. Shahimin. "Characterization of all-optical Feynman and Fredkin gates utilizing optimized SOANOLM." In 4TH ELECTRONIC AND GREEN MATERIALS INTERNATIONAL CONFERENCE 2018 (EGM 2018). Author(s), 2018. http://dx.doi.org/10.1063/1.5080892.

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