نتایج جستجو برای: quantum dot cellular automata qca

تعداد نتایج: 760114  

2013
S. Devendra K. Verma P. K. Barhai

Nanotechnology is derived from the evolution of microelectronics towards miniaturization. CMOS Technology has been targeted to integrate more and more Devices per unit area of Silicon-substrate, but there is limitation in scaling-down CMOS Circuits/Devices. Like Nanotechnology, QCA (Quantum-Dot Cellular Automata) is another alternate Technology having ability to reduce the Device-sizes beyond t...

   Complementary metal-oxide semiconductor (CMOS) technology has been the industry standard to implement Very Large Scale Integrated (VLSI) devices for the last two decades. Due to the consequences of miniaturization of such devices (i.e. increasing switching speeds, increasing complexity and decreasing power consumption), it is essential to replace them with a new technology. Quantum-dot c...

Journal: :Facta universitatis. Series electronics and energetics 2021

Quantum-dot Cellular Automata (QCA) technology is a promising alternative nano-scale for CMOS technology. In digital circuits, multiplexer one of the most important components. this study, an efficient and single layer 2 to 1 QCA circuit proposed using majority gate inverter gate. addition, 4 8 circuits are implemented circuit. The developed in QCADesigner tool. According results, 1, utilize 16...

Journal: :international journal of nanoscience and nanotechnology 2015
h. dallaki m. mehran

quantum-dot cellular automaton (qca) is a novel nanotechnology with a very different computational method in compared with cmos, whereas placement of electrons in cells indicates digital information. this nanotechnology with specifications such as fast speed, high parallel processing, small area, low power consumption and higher switching frequency becomes a promising candidate for cmos technol...

2014
M Mustafa M R Beigh

Quantum-dot Cellular Automata (QCA) is one of the candidates among future nanoelectronic computing technologies. QCA is based on cells of coupled quantum dots. The QCA cells have features on the very low nanometer scale, much smaller than the present state of art size of the smallest transistor. The physical interaction between neighbouring cells has been exploited in the implementation of logi...

1996
Wim van Dam

We will prove the existence of a universal quantum cellular automaton. Such qca are defined as the quantum-mechanical pendant of classical one-dimensional cellular automata. As is the case with quantum Turing machines, the well-formedness restriction plays an important role. It will be shown that every proper qca obeys a local constraint which is comparable with the ‘inverse neighborhood’ of cl...

2003
K. Walus

This paper describes research on a novel design and simulation tool for quantum-dot cellular automata (QCA), which we refer to as QCADesigner. A typical design window is shown in Figure 1. QCADesigner facilitates rapid design of QCA circuits by implementing different simulation engines and many standard CAD capabilities [1][2]. The results of a simulation are displayed in graphs such as the one...

2017
M. S. Navya Deepthi T. Neelima

Quantum cellular automata (QCA) is a new technology in nano metre scale to support nanotechnology. QCA is very effective in terms of high space density and power dissipation and will be playing a major role in the development of the Quantum computer with low power consumption and high speed. This paper describes the design and layout of a 2-bit ALU based on quantum-dot cellular automata (QCA) u...

2017
P. P. Chougule B. Sen R. Mukherjee P. S. Patil R. K. Kamat T. D. Dongale

Processing in Memory (PIM) is a computing paradigm that promises enormous gain in processing speed by eradicating latencies in the typical von Neumann architecture. It has gained popularity owing to its throughput by embedding storage and computation of data in a single unit. We portray implementation of Akers array architecture endowed with PIM computation using Quantum-dot Cellular Automata (...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید