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Author (up) Seyedi, S.; Navimipour, N.J.; Otsuki, A. doi  openurl
  Title A New Nano-Scale and Energy-Optimized Reversible Digital Circuit Based on Quantum Technology Type
  Year 2022 Publication Electronics Abbreviated Journal Electronics  
  Volume 11 Issue 23 Pages 4038  
  Keywords nano-electronic; reversible logic; quantum-dot; optimization; QCADesigner-E; quantum cost  
  Abstract A nano-scale quantum-dot cellular automaton (QCA) is one of the most promising replacements for CMOS technology. Despite the potential advantages of this technology, QCA circuits are frequently plagued by numerous forms of manufacturing faults (such as a missing cell, extra cell, displacement cell, and rotated cell), making them prone to failure. As a result, in QCA technology, the design of reversible circuits has received much attention. Reversible circuits are resistant to many kinds of faults due to their inherent properties and have the possibility of data reversibility, which is important. Therefore, this research proposes a new reversible gate, followed by a new 3 x 3 reversible gate. The proposed structure does not need rotated cells and only uses one layer, increasing the design's manufacturability. QCADesigner-E and the Euler method on coherence vector (w/energy) are employed to simulate the proposed structure. The 3 x 3 reversible circuit consists of 21 cells that take up just 0.046 mu m(2). Compared to the existing QCA-based single-layer reversible circuit, the proposed reversible circuit minimizes cell count, area, and delay. Furthermore, the energy consumption is studied, confirming the optimal energy consumption pattern in the proposed circuit. The proposed reversible 3 x 3 circuit dissipates average energy of 1.36 (eV) and overall energy of 1.49 (eV). Finally, the quantum cost for implementing the reversible circuits indicates a lower value than that of all the other examined circuits.  
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  Series Volume Series Issue Edition  
  ISSN 2079-9292 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000896161200001 Approved  
  Call Number UAI @ alexi.delcanto @ Serial 1678  
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