JOURNAL ARTICLE

Clocked molecular quantum-dot cellular automata circuits tolerate unwanted external electric fields

Peizhong CongEnrique P. Blair

Year: 2022 Journal:   Journal of Applied Physics Vol: 131 (23)   Publisher: American Institute of Physics

Abstract

Quantum-dot cellular automata (QCA) may provide low-power, general-purpose computing in the post-CMOS era. A molecular implementation of QCA features nanometer-scale devices and may support ∼THz switching speeds at room-temperature. Here, we explore the ability of molecular QCA circuits to tolerate unwanted applied electric fields, which may come from a variety of sources. One likely source of strong unwanted electric fields may be electrodes recently proposed for the write-in of classical bits to molecular QCA input circuits. Previous models have shown that the input circuits are sensitive to the applied field, and a coupled QCA wire can successfully transfer the input bit to downstream circuits despite strong applied fields. However, the ability of other QCA circuits to tolerate an applied field has not yet been demonstrated. Here, we study the robustness of various QCA circuits by calculating their ground state responses in the presence of an applied field. To do this, a circuit is built from several QCA molecules, each described as a two-state system. A circuit Hamiltonian is formed and diagonalized. All pairwise interactions between cells are considered, along with all correlations. An examination of the ground state shows that these QCA circuits may indeed tolerate strong unwanted electric fields. We also show that circuit immunity to the dominant unwanted field component may be obtained by choosing the orientation of constituent molecules. This suggests that relatively large electrodes used for bit write-in to molecular QCA need not disrupt the operation of nearby QCA circuits. The circuits may tolerate significant electric fields from other sources as well.

Keywords:
Electronic circuit Quantum dot cellular automaton Robustness (evolution) Computer science CMOS Quantum cellular automaton Electronic engineering Cellular automaton Electrical engineering Engineering Chemistry Algorithm

Metrics

9
Cited By
2.11
FWCI (Field Weighted Citation Impact)
47
Refs
0.81
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Quantum-Dot Cellular Automata
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Advanced Memory and Neural Computing
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Semiconductor materials and devices
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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