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Formation mechanism of InP quantum dot rings by droplet epitaxy

Formation mechanism of InP quantum dot rings by droplet epitaxy

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Fig. 1. Basic QAC cells represent digital data "1" and "0"
Fig. 2. Schematic display of QCA wire transferring data at high speed...
Fig. 3. Quantum dots grown by strained semiconductors
Fig. 6. Schematic display of a QCA logic working as a majority gate
+4 Fig. 16. Cross hatched substrate leads to quantum dot alignment and...
Quadra-Quantum Dots and Related Patterns of Quantum Dot Molecules: Basic Nanostructures for Quantum Dot Cellular Automata Application
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Full-text available
  • Apr 2011
Laterally close-packed quantum dots (QDs) called quantum dot molecules (QDMs) are grown by modified molecular beam epitaxy (MBE). Quantum dots could be aligned and cross hatched. Quantum rings (QRs) created from quantum dot transformation during thin or partial capping are used as templates for the formations of bi-quantum dot molecules (Bi-QDMs) a...
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Designing digital circuits based on quantum-dots cellular automata using nature-inspired metaheuristic algorithms: A systematic literature review
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  • May 2022
  • OPTIK
Quantum-dot Cellular Automata (QCA) is prospective nanotechnology that has been named one of the top six upcoming computer technologies. QCA is a method for building computational systems that encode binary logics via the arrangement of charges among quantum dots. It is highly fast, has low power usage, and is extremely dense. QCA technology, in particular, brings up new possibilities for power savings and high-performance clock rates. Because of the appropriate properties, the execution of logic circuits utilizing QCA technology is a hotly debated topic. Design tools must handle many problems posed by QCA technology circuit design. Nature-inspired meta-heuristic algorithms play a vital role in computer processing, and algorithms with faster performance rates are more valuable. However, so far, there is no systematic study that regularly examines the role of nature-inspired met heuristic algorithms in QCA. Hence, the present investigation examines the applications of nature-inspired met heuristic algorithms in QCA. The articles on QCA optimization algorithms are selected and analyzed using the systematic literature review method. Also, important challenges and suggestions for future work are highlighted. The results showed that QCA-based digital logic circuits could be optimized using nature-inspired algorithms by reducing the number of gates.
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