Digital Logic Gate Using Quantum-Dot Cellular Automata

“…Other computation schemes, operating on different principles, include electrons confined in quantum dot cellular automatons [158,159], magnetic dot cellular automatons [160], and solutions of interacting DNA molecules [161,162]. Computation can also be performed by purely mechanical means [163,164], as in the calculating engine of Babbage [165].…”

Section: Chapter 10 Applications To New Emerging Technologiesmentioning

confidence: 99%

Integrated logic synthesis using simulated annealing

Färm

Dubrova

Kuehlmann

2011

Proceedings of the 21st Edition of the Great Lakes Symposium on Great Lakes Symposium on VLSI

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KTH School of Information andCommunication Technology SE-164 40 Kista SWEDEN Akademisk avhandling som med tillstånd av Kungl Tekniska högskolan framlägges till offentlig granskning för avläggande av teknologie doktorsexamen i elektronik fredagen den 26 januari 2007 klockan 9.00 i Sal E, Forumhuset, Kungl Tekniska högskolan, Isafjordsgatan 39, Kista. © Petra Färm, januari 2007Tryck: Universitetsservice US AB iii Abstract A conventional logic synthesis flow is composed of three separate phases: technology independent optimization, technology mapping, and technology dependent optimization. A fundamental problem with such a three-phased approach is that the global logic structure is decided during the first phase without any knowledge of the actual technology parameters considered during later phases. Although technology dependent optimization algorithms perform some limited logic restructuring, they cannot recover from fundamental mistakes made during the first phase, which often results in non-satisfiable solutions.We present a global optimization approach combining technology independent optimization steps with technology dependent objectives in an annealing-based framework. We prove that, for the presented move set and selection distribution, detailed balance is satisfied and thus the annealing process asymptotically converges to an optimal solution. Furthermore, we show that the presented approach can smoothly trade-off complex, multiple-dimensional objective functions and achieve competitive results. The combination of technology independent and technology dependent objectives is handled through dynamic weighting. Dynamic weighting reflects the sensitivity of the local graph structures with respect to the actual technology parameters such as gate sizes, delays, and power levels. The results show that, on average, the presented advanced annealing approach can improve the area and delay of circuits optimized using the Boolean optimization technique provided by SIS with 11.2% and 32.5% respectively.Furthermore, we demonstrate how the developed logic synthesis framework can be applied to two emerging technologies, chemically assembled nanotechnology and molecule cascades. New technologies are emerging because a number of physical and economic factors threaten the continued scaling of CMOS devices. Alternatives to silicon VLSI have been proposed, including techniques based on molecular electronics, quantum mechanics, and biological processes. We are hoping that our research in how to apply our developed logic synthesis framework to two of the emerging technologies might provide useful information for other designers moving in this direction.iv

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“…These clocks have been proposed to control the potential barriers between the dots. When the clock signal is high the potential barriers between the dots are low and electrons effectively spread out in the cell and no net polarization exists [14]. As the clock signal is switched low, the potential barriers between the dots are raised high and the electrons are localized such that a polarization is developed based on the interaction of their neighbors [15.] In short when clock is high cell is unlatched and when clock is low cell is latched.…”

Section: Qca Clockingmentioning

confidence: 99%

Study and Implementation of MUX Based FPGA in QCA Technology

Ganesh¹,

Krishnan²

2011

IJDPS

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QUANTUM DOT CELLULAR AUTOMATAQuantum-dot Cellular Automata (QCA) is an emerging technology that offers a revolutionary approach to computing at nano-level [1]. Quantum dots are nanostructures created from standard semi conductive materials. These structures are modelled as quantum wells. They exhibit energy effects even at distances several hundred times larger than the material system lattice constant. A dot can be visualized as well. Once electrons are trapped inside the dot, it requires higher energy for electron to escape. The fundamental unit of QCA is a QCA cell created with four quantum Dots positioned at the vertices of a square.[2] [3.]. The electrons are quantum mechanical particles and they are able to tunnel between the dots in a cell. The electrons in the cell that are placed adjacent to each other will interact; as a result the polarization of one cell will be directly affected by the polarization of its neighbouring cells.

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Digital Logic Gate Using Quantum-Dot Cellular Automata

Cited by 548 publications

References 11 publications

Digital Combinational Circuits Design with the Help of Symmetric Functions Considering Heat Dissipation by Each QCA Gate

Digital Combinational Circuits Design with the Help of Symmetric Functions Considering Heat Dissipation by Each QCA Gate

Integrated logic synthesis using simulated annealing

Study and Implementation of MUX Based FPGA in QCA Technology

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