Results 201 to 210 of about 432 (251)

Quantum-dot cellular automata adders

2003 Third IEEE Conference on Nanotechnology, 2003. IEEE-NANO 2003., 2004
In this paper, a novel quantum-dot cellular automata (QCA) adder design is presented that reduces the number of QCA cells compared to previously reported designs. The proposed one-bit QCA adder structure is based on a new algorithm that requires only three majority gates and two inverters for the QCA addition. By connecting n one-bit QCA adders, we can
null Wei Wang, K. Walus, G.A. Jullien
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Quantum-Dot Cellular Automata

2003
An introduction to of quantum-dot cellular automata (QCA) is presented. QCA is a transistorless nanoelectronic computation paradigm that addresses the issues of device and power density which are becoming increasingly important in the electronics industry.
C. S. Lent, G. L. Snider, G. Bernstein, W. Porod, A. Orlov, M. Lieberman, T. Fehlner, M. Niemier, P. Kogge   +8 more
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Electronic quantum-dot cellular automata

2008 9th International Conference on Solid-State and Integrated-Circuit Technology, 2008
This paper presents an overview of the electronic implementation of quantum-dot cellular automata (QCA). QCA is a computing paradigm that encodes and processes information by the position of individual electrons. This opens the possibility of dense, ultra-low power devices.
Gregory L. Snider, Alexei O. Orlov, Vishwanath Joshi, Robin A. Joyce, Hua Qi, Kameshwar K. Yadavalli, Gary H. Bernstein, Thomas P. Fehlner, Craig S. Lent   +8 more
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Quantum-Dot cellular automata divider

2017 6th Mediterranean Conference on Embedded Computing (MECO), 2017
One of the most important mathematical operations is division. An efficient divider can be of great assistance in designing arithmetic circuits. The Quantum cellular automata (QCA) is an encouraging technology which seems to be a good successor of existing digital systems.
Samedin Krrabaj, Ercan Canhasi, Xhevahir Bajrami   +2 more
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Quantum computing with quantum-dot cellular automata

Physical Review A, 2001
Quantum-dot cellular automata (QCA), arrays of coupled quantum-dot devices, are proposed for quantum computing. The notion of coherent QCA (CQCA) is introduced in order to distinguish QCA applied to quantum computing from classical digital QCA. Information is encoded in the spatial state of the electrons in the multidot system. A line of CQCA cells can
Géza Tóth, Craig S. Lent
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Quantum-dot cellular automata: computing by filed polarization

Proceedings 2003. Design Automation Conference (IEEE Cat. No.03CH37451), 2003
As CMOS technology continues its monotonic shrink, computing with quantum dots remains a goal in nanotechnology research. Quantum-dot cellular automata (QCA) is a paradigm for low-power, high-speed, highly dense computing that could be realized in a variety of materials systems.
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Quantum dot cellular automata magnitude comparators

2012 IEEE International Conference on Electron Devices and Solid State Circuit (EDSSC), 2012
In this paper, first a 1-bit magnitude comparator design is presented that reduces the number of QCA cells compared to previously reported design. The proposed design requires only about 49 % of the area as compared to previous design with the same speed and clocking performance. Then, we have proposed novel 2 and 3 bit comparator designs in QCA.
Bahniman Ghosh, Shoubhik Gupta, Smriti Kumari   +2 more
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Clocked molecular quantum-dot cellular automata

IEEE Transactions on Electron Devices, 2003
Quantum-dot cellular automata (QCA) is an approach to computing that eliminates the need for current switches by representing binary information as the configuration of charge among quantum dots. For molecular QCA, redox sites of molecules serve as the quantum dots.
C.S. Lent, B. Isaksen
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Implementations of Quantum-dot Cellular Automata

2006 International Conference on Nanoscience and Nanotechnology, 2006
An introduction to quantum-dot cellular automata (QCA) is presented along with experimental implementations. QCA is a transistorless nanoelectronic computation paradigm that addresses the issues of device and power density, which are becoming increasingly important in the electronics industry.
Gregory Snider, Alexei Orlov, Craig Lent, Gary Bernstein, Marya Lieberman, Thomas Fehlner   +5 more
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Thresholding using Quantum-dot Cellular Automata

2011 International Conference on Innovations in Information Technology, 2011
Quantum-dot Cellular Automata(QCA), a promising alternative to CMOS technology, can provide a powerful and efficient computing platform for image processing which has heavy computational requirements. Image thresholding is one such image processing technique that plays a significant role in applications of image segmentation for its intuitive ...
Bibhash Sen, Anshu S Anand, Tanumoy Adak, Biplab K Sikdar   +3 more
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