Results 251 to 260 of about 2,194 (292)
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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 +8 more
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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 +8 more
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Design of a cellular automata cell with rule 30 on quantum-dot cellular automata
Proceedings of the 29th Annual ACM Symposium on Applied Computing, 2014This paper designs and simulates a cellular automata (CA) cell with rule 30 on quantum-dot cellular automata (QCA). In order to implement a cell on QCA, we use Shamsabadi et al.'s D Flip-flop, a new XOR logic gate in QCADesigner. The simulation result shows that outputs of the proposed design for corresponding inputs are correct with high polarization,
Sang-Ho Shin +3 more
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Fanout in quantum dot cellular automata
63rd Device Research Conference Digest, 2005. DRC '05., 2005In this report, we describe the fabrication and experimental demonstration of fanout in QCA. Fanout is important as it is necessary for complex digital logic circuits and is essential for generating compact designs, as multiple cells can be then driven by a single driver cell.
K.K. Yadavalli +5 more
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Implementations of Quantum-dot Cellular Automata
2006 International Conference on Nanoscience and Nanotechnology, 2006An 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 +5 more
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An Efficient Multiplexer in Quantum-dot Cellular Automata
2012Quantum-dot Cellular Automata (QCA) technology is considered as the alternative to state-of-the-art CMOS due to its extra low-power, extremely dense and high speed structures at nano-scale. This paper proposes a novel design of 2:1 multiplexer in QCA, targeting better area efficiency and reduced input to output delay.
Bibhash Sen +3 more
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Molecular quantum-dot cellular automata
2003 Third IEEE Conference on Nanotechnology, 2003. IEEE-NANO 2003., 2004Quantum-dot cellular automata (QCA) is an approach to computing which eliminates the need for transistors by representing binary digits as charge configurations rather than current levels. Coulomb interactions provide device-device coupling without current flow.
B. Isaksen, C.S. Lent
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Quantum-dots cellular automata comparator
2007 7th International Conference on ASIC, 2007In this paper, a novel comparator based on the QCA (Quantum-Dot Cellular Automata) is presented. The proposed comparator is simulated using the QCADesigner tool and experiment result shows that the logical function of the designed circuit is correct.
null Qiu Ke-ming, null Xia Yin-shui
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Electronic quantum-dot cellular automata
2008 9th International Conference on Solid-State and Integrated-Circuit Technology, 2008This 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 +8 more
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Quantum-dot cellular automata adders
2003 Third IEEE Conference on Nanotechnology, 2003. IEEE-NANO 2003., 2004In 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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An improved eigensolver for quantum-dot cellular automata simulations
2013 IEEE High Performance Extreme Computing Conference (HPEC), 2013The work in this paper describes the applicati on of an optimized eigensolver algorithm to produce the kernel calculations for simulating quantum-dot cellular automata (QCA) circuits, an emerging implementation of quantum computing The application of the locally optimal block preconditioned conjugate gradient (LOBPCG) method to calculate the ...
A. Taylor Baldwin +2 more
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