Optimized implementation of pseudo-random bit generation and shift register structures in QCA technology

• The most important innovations of this article are: • An innovative new design of rising edge sensitive D flip-flop with the minimum number of cells • A new four-bit LFSR design with low power consumption • New eight-bit LFSR design for the first time in QCA technology • New and optimized four-bit shift register design with reset capability Quantum-dot Cellular Automata (QCA) represents a promising direction in nanoscale circuit design, utilizing quantum effects between closely spaced quantum dots to implement digital logic without traditional transistors. This technology facilitates the creation of dense and energy-efficient digital systems. This work proposes four novel QCA-based structures are developed and analyzed, including a rising edge-sensitive D flip-flop, four-bit and eight-bit linear feedback shift registers (LFSRs), and a four-bit shift register equipped with reset functionality. The proposed designs prioritize reductions in cell count, occupied area, propagation delay, and energy consumption. For instance, the D flip-flop includes 28 cells with an area footprint of 0.02 µm². The four-bit and eight-bit LFSRs utilize 145 and 281 cells, respectively, corresponding to areas of 0.16 µm² and 0.2 µm². The reset-enabled four-bit shift register comprises 104 cells and occupies 0.07 µm². These findings suggest that the proposed circuits offer improved design efficiency compared to prior work. Functional validation and energy analysis were performed using QCADesigner version 2.0.3 and QCAPro simulation platforms.

Authors

Institutions

Publication Details

Journal
Results in Engineering
Published
2025-09-27
DOI
https://doi.org/10.1016/j.rineng.2025.107459
Citations
1
Primary Topic
Quantum-Dot Cellular Automata
Type
article
Field-Weighted Citation Impact
1.50
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimized implementation of pseudo-random bit generation and shift register structures in QCA technology

Pezhman Kiani Vosta
1 citations
Results in Engineering
Quantum-Dot Cellular Automata
1.50
article

Optimized implementation of pseudo-random bit generation and shift register structures in QCA technology

Pezhman Kiani Vosta
article en
1 citations

Abstract

• The most important innovations of this article are: • An innovative new design of rising edge sensitive D flip-flop with the minimum number of cells • A new four-bit LFSR design with low power consumption • New eight-bit LFSR design for the first time in QCA technology • New and optimized four-bit shift register design with reset capability Quantum-dot Cellular Automata (QCA) represents a promising direction in nanoscale circuit design, utilizing quantum effects between closely spaced quantum dots to implement digital logic without traditional transistors. This technology facilitates the creation of dense and energy-efficient digital systems. This work proposes four novel QCA-based structures are developed and analyzed, including a rising edge-sensitive D flip-flop, four-bit and eight-bit linear feedback shift registers (LFSRs), and a four-bit shift register equipped with reset functionality. The proposed designs prioritize reductions in cell count, occupied area, propagation delay, and energy consumption. For instance, the D flip-flop includes 28 cells with an area footprint of 0.02 µm². The four-bit and eight-bit LFSRs utilize 145 and 281 cells, respectively, corresponding to areas of 0.16 µm² and 0.2 µm². The reset-enabled four-bit shift register comprises 104 cells and occupies 0.07 µm². These findings suggest that the proposed circuits offer improved design efficiency compared to prior work. Functional validation and energy analysis were performed using QCADesigner version 2.0.3 and QCAPro simulation platforms.

Results in EngineeringVol. 28
Babol Noshirvani University of Technology (IR)
Openalex Percentile: Top 13%
Quantum-Dot Cellular Automata
1.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.