Quantum-Dot Cellular Automata
Quantum-Dot Cellular Automata is a research topic within Computational Theory and Mathematics. Science Explorer counts 9.4k research works in it since 1950. 19.1% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the design, simulation, and implementation of Quantum-dot Cellular Automata (QCA) for molecular computing and nanotechnology applications. It covers topics such as logic design, fault tolerance, adder circuits, clocking schemes, power dissipation analysis, and reversible logic. The research explores the potential of QCA as an alternative computing paradigm at the nanoscale.
- Quantum-dot Cellular Automata
- QCA
- Molecular Computing
- Nanotechnology
- Logic Design
- Fault Tolerance
- Adder Circuits
- Clocking Schemes
- Power Dissipation Analysis
- Reversible Logic
- Research works
- 9.4k fractional, since 1950
- In the world top 10%
- 1.8k per year above
- Top-10% rate
- 19.1% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +44% the tick is no change
Which countries lead Quantum-Dot Cellular Automata research?
By volume, India and China publish the most (589 and 498 works in 2022–2025).
By volume, 2022–2025
- 1 India 589 works
- 2 China 498 works
- 3 United States 354 works
- 4 Japan 107 works
- 5 Germany 83 works
- 6 Iran 76 works
- 7 United Kingdom 74 works
- 8 South Korea 69 works
- 9 Italy 56 works
- 10 Canada 51 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Quantum-Dot Cellular Automata research?
By volume in 2022–2025, National University of Singapore publishes the most Quantum-Dot Cellular Automata research, followed by Hefei University of Technology and Technical University of Munich.
By volume, 2022–2025
- 1 National University of Singapore Singapore 17 works
- 2 Hefei University of Technology China 16 works
- 3 Technical University of Munich Germany 15 works
- 4 Vellore Institute of Technology University India 12 works
- 5 Saveetha University India 12 works
- 6 SRM Institute of Science and Technology India 11 works
- 7 Chinese Academy of Sciences China 11 works
- 8 Amrita Vishwa Vidyapeetham India 11 works
- 9 Beijing University of Posts and Telecommunications China 11 works
- 10 Tsinghua University China 10 works
Who are the leading researchers in Quantum-Dot Cellular Automata?
The most-cited researchers publishing on Quantum-Dot Cellular Automata include Takashi Taniguchi, Mehdi Hosseinzadeh and Leon O. Chua.
- 1 Takashi Taniguchi 6.2k citations
- 2 Mehdi Hosseinzadeh 4.2k citations
- 3 Leon O. Chua 4.1k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Quantum-Dot Cellular Automata research done?
The largest centres of Quantum-Dot Cellular Automata research in 2022–2025 are Beijing (China), Chennai (India), Seoul (South Korea) and Hefei (China).
Where is the best place to study Quantum-Dot Cellular Automata?
Among universities, judged by research, Technical University of Munich, Hefei University of Technology and National University of Singapore score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Technical University of Munich Germany | 69.2 | 49.4% | 7.6× | 15 | -48.4% |
| 2 | Hefei University of Technology China | 53.8 | 7.0% | 11.8× | 16 | +93.7% |
| 3 | National University of Singapore Singapore | 50.1 | 8.7% | 7.2× | 17 | -30.3% |
| 4 | Shri Mata Vaishno Devi University India | 49.5 | 26.2% | 86.1× | 9 | — |
| 5 | Amrita Vishwa Vidyapeetham India | 46.6 | 12.6% | 8.0× | 11 | +483.3% |
| 6 | Nanyang Technological University Singapore | 46.0 | 30.6% | 4.9× | 10 | +17.4% |
| 7 | Delft University of Technology Netherlands | 44.0 | 31.9% | 5.5× | 9 | +31.7% |
| 8 | University of Engineering & Management India | 40.5 | 13.2% | 45.2× | 9 | — |
| 9 | University of Dhaka Bangladesh | 40.4 | 11.0% | 16.0× | 9 | +41.1% |
| 10 | Chitkara University India | 31.8 | 11.1% | 8.4× | 8 | — |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Quantum-Dot Cellular Automata research growing?
Output in 2018–2022 was 44% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Quantum-Dot Cellular Automata.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.