Enhancing Fundamental Energy Limits of Field-Coupled Nanocomputing Circuits

Chaves, Jeferson F.; Ribeiro, Marco A.; Torres, Frank Sill; Neto, Omar P. Vilela

doi:10.1109/iscas.2018.8351150

Cited by 6 publications

(2 citation statements)

References 27 publications

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“…To begin with, the mathematical analysis of QCADesigner-E (QDE), considering each QCA cell as a soaking of energy (energy bath), with E bath [5,24] representing the overall amount of energy that gets transferred from the respective clock. Let E ev be the energy transmitted from the cells to the surrounding environment.…”

Section: Energy Estimation Using Qdementioning

confidence: 99%

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Energy estimation of QCA circuits: An investigation with multiplexers

Khan

Parameshwara²,

Bahar

2022

Journal of Electrical Engineering

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Quantum-dot Cellular Automata (QCA) is a rival to complementary-metal-oxide-semiconductor (CMOS)-based technology and one of the most cutting-edge nano-scale technologies. The multiplexer is a fundamental component in the fields of nano communication and nano computation. The investigative item of this article is the QCA multiplexer, and a handful of the best multiplexers were chosen as samples for the current experiment. The QCA layouts were designed in the QCADesigner-2.0.3 simulation engine environment, and the best one was reported after successfully experimenting on a total of eight samples. The co-ordinate-based energy was estimated using QCADesigner-E (QDE), and the non-adiabatic energy waste was investigated using QCAPro. According to the coordinates-based technique, the overall energy waste of the best energy-saving QCA multiplexer is 5.90 meV, with an average energy loss per cycle of 0.537 meV. Another approach, QCAPro-based, was used to estimate the energy loss at three different levels of tunneling at a constant temperature, yielding an overall energy loss of approximately 12 to 15 meV for the energy-efficient multiplexers..

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Section: Energy Estimation Using Qdementioning

confidence: 99%

“…which, relating to the transmission direction, can be either positive or negative. For example, the possitive error means some of the energy is transported to the nearby environment [5,24]. The energy dissipation in this work, considering eight multiplexers as samples, was calculated using this following approach.…”

Section: Energy Estimation Using Qdementioning

confidence: 99%