DESIGN AND SIMULATION OF MODULAR QUANTUM-DOT CELLULAR AUTOMATA MULTIPLEXERS FOR MEMORY ACCESSING

2010 ◽  
Vol 19 (02) ◽  
pp. 349-365 ◽  
Author(s):  
VASILIOS A. MARDIRIS ◽  
IOANNIS G. KARAFYLLIDIS
Keyword(s):  
Cellular Automata ◽  
Quantum Dot ◽  
Modular Design ◽  
Memory Cell ◽  
Building Blocks ◽  
Careful Consideration ◽  
Quantum Dot Cellular Automata ◽  
Specific Memory ◽  
Circuit Integration ◽  
Qca Circuits

Multiplexers are extremely important parts of signal control systems. Some critical circuits of computing systems, like memories, use large multiplexers in order to present the value of a specific memory cell to their output. Several quantum-dot cellular automata (QCA) circuits have been designed and the need for a QCA memory access system becomes prominent. A modular 2n to 1 QCA multiplexer covering small area could reduce the size of such circuits and conclusively could increase circuit integration. In this paper we present a novel design of a small size, modular quantum-dot cellular automata (QCA) 2n to 1 multiplexer that can be used for memory addressing. The design objective is to develop a modular design methodology which can be used to implement 2n to 1 multiplexers using building blocks. For the QCA implementation a careful consideration is taken into account concerning the design in order to increase the circuit stability.

Designing layout–timing independent quantum-dot cellular automata (QCA) circuits by global asynchrony

2007 ◽  
Vol 53 (9) ◽  
pp. 551-567 ◽  
Author(s):  
Myungsu Choi ◽  
Zachary Patitz ◽  
Byoungjae Jin ◽  
Feng Tao ◽  
Nohpill Park ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Quantum Dot ◽  
Quantum Dot Cellular Automata ◽  
Qca Circuits

Quantum-dot Cellular Automata

2001 ◽  
Vol 696 ◽  
Author(s):  
Gregory L. Snider ◽  
Alexei O. Orlov ◽  
Ravi K. Kummamuru ◽  
Rajagopal Ramasubramaniam ◽  
Islamshah Amlani ◽  
...  
Keyword(s):  
Quantum Dots ◽  
Cellular Automata ◽  
Quantum Dot ◽  
Low Temperatures ◽  
Tunnel Junctions ◽  
Operating Temperature ◽  
Building Blocks ◽  
Quantum Dot Cellular Automata ◽  
Background Charge ◽  
Metal Islands

AbstractAn overview is given of the quantum-dot cellular automata (QCA) architecture, along with a summary of experimental demonstrations of QCA devices. QCA is a transistorless computation paradigm that can provide a solution to such challenging issues as device and power density. The basic building blocks of the QCA architecture, such as AND, OR gates and clocked cells have been demonstrated and will be presented here. The quantum dots used in the experiments to date are metal islands that are coupled by capacitors and tunnel junctions, and devices operate only at very low temperatures. For QCA to be used in practical devices, the operating temperature must be raised, and issues such as background charge must be addressed. An introduction will be given to these issues and possible solutions.

Memory Designing Using Quantum-Dot Cellular Automata: Systematic Literature Review, Classification and Current Trends

2017 ◽  
Vol 26 (12) ◽  
pp. 1730004 ◽  
Author(s):  
Sonia Afrooz ◽  
Nima Jafari Navimipour
Keyword(s):  
Cellular Automata ◽  
Literature Review ◽  
Quantum Dot ◽  
Systematic Literature Review ◽  
Random Access ◽  
Memory Cell ◽  
Memory State ◽  
Flip Flop ◽  
Quantum Dot Cellular Automata ◽  
Advantages And Disadvantages

Quantum-dot cellular automata (QCA) has come out as one of the potential computational structures for the emerging nanocomputing systems. It has a large capacity in the development of circuits with high space density and dissipation of low heat and allows faster computers to develop with lower power consumption. The QCA is a new appliance to realize nanolevel digital devices and study and analyze their various parameters. It is also a potential technology for low force and high-density memory plans. Large memory designs in QCA show unique features because of their architectural structure. In QCA-based architectures, memory must be maintained in motion, i.e., the memory state has to be continuously moved through a set of QCA cells. These architectures have different features, such as the number of bits stored in a loop, access type (serial or parallel) and cell arrangement for the memory bank. However, the decisive features of the QCA memory cell design are the number of cells, to put off the use of energy. Although the review and study of the QCA-based memories are very important, there is no complete and systematic literature review about the systematical analyses of the state of the mechanisms in this field. Therefore, there are five main types to provide systematic reviews about the QCA-based memories; including read only memory (ROM), register, flip-flop, content addressable memory (CAM) and random access memory (RAM). Also, it has provided the advantages and disadvantages of the reviewed mechanisms and their important challenges so that some interesting lines for any coming research are provided.

Accurate reliability analysis method for quantum-dot cellular automata circuits

2015 ◽  
Vol 29 (29) ◽  
pp. 1550203
Author(s):  
Huanqing Cui ◽  
Li Cai ◽  
Sen Wang ◽  
Xiaoqiang Liu ◽  
Xiaokuo Yang
Keyword(s):  
Cellular Automata ◽  
Quantum Dot ◽  
Fault Tree ◽  
The Novel ◽  
Binary Decision ◽  
Quantum Dot Cellular Automata ◽  
Input Signals ◽  
Tree Models ◽  
The Impact ◽  
Qca Circuits

Probabilistic transfer matrix (PTM) is a widely used model in the reliability research of circuits. However, PTM model cannot reflect the impact of input signals on reliability, so it does not completely conform to the mechanism of the novel field-coupled nanoelectronic device which is called quantum-dot cellular automata (QCA). It is difficult to get accurate results when PTM model is used to analyze the reliability of QCA circuits. To solve this problem, we present the fault tree models of QCA fundamental devices according to different input signals. After that, the binary decision diagram (BDD) is used to quantitatively investigate the reliability of two QCA XOR gates depending on the presented models. By employing the fault tree models, the impact of input signals on reliability can be identified clearly and the crucial components of a circuit can be found out precisely based on the importance values (IVs) of components. So this method is contributive to the construction of reliable QCA circuits.

scholarly journals Optimum multiplexer design in quantum-dot cellular automata

2020 ◽  
Vol 17 (1) ◽  
pp. 148 ◽  
Author(s):  
Esam AlKaldy ◽  
Ali H Majeed ◽  
Mohd Shamian Zainal ◽  
Danial MD Nor
Keyword(s):  
Cellular Automata ◽  
Quantum Dot ◽  
Boolean Function ◽  
High Speed ◽  
Building Blocks ◽  
Cmos Technology ◽  
Quantum Dot Cellular Automata ◽  
Quantum Technology ◽  
Logical Functions ◽  
Novel Design

<p>Quantum-dot Cellular Automata (QCA) is one of the most important computing technologies for the future and will be the alternative candidate for current CMOS technology. QCA is attracting a lot of researchers due to many features such as high speed, small size, and low power consumption. QCA has two main building blocks (majority gate and inverter) used for design any Boolean function. QCA also has an inherent capability that used to design many important gates such as XOR and Multiplexer in optimal form without following any Boolean function. This paper presents a novel design 2:1 QCA-Multiplexer in two forms. The proposed design is very simple, highly efficient and can be used to produce many logical functions. The proposed design output comes from the inherent capabilities of quantum technology. New 4:1 QCA-Multiplexer has been built using the proposed structure. The output waveforms showed the wonderful performance of the proposed design in terms of the number of cells, area, and latency.</p>

Content addressable memory cell in quantum-dot cellular automata

2016 ◽  
Vol 163 ◽  
pp. 140-150 ◽  
Author(s):  
Saeed Rasouli Heikalabad ◽  
Ahmad Habibizad Navin ◽  
Mehdi Hosseinzadeh
Keyword(s):  
Cellular Automata ◽  
Quantum Dot ◽  
Memory Cell ◽  
Quantum Dot Cellular Automata ◽  
Content Addressable Memory

Designing High Speed Sequential Circuits by Quantum-Dot Cellular Automata: Memory Cell and Counter Study

2015 ◽  
Vol 4 (2) ◽  
pp. 190-197 ◽  
Author(s):  
Shadi Sheikhfaal ◽  
Keivan Navi ◽  
Shaahin Angizi ◽  
Ahmad Habibizad Navin
Keyword(s):  
Cellular Automata ◽  
Quantum Dot ◽  
High Speed ◽  
Memory Cell ◽  
Sequential Circuits ◽  
Quantum Dot Cellular Automata
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