# Quantum-Dot Cellular Automata

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/quantum-dot-cellular-automata/

## Facts

| Field | Value |
| --- | --- |
| Citations | 99,108 |
| Description | 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. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T13182 |
| Works | 11,901 |

## Topic papers all

- [Quantum Computer Systems for Scientific Discovery](https://scholariq.org/papers/quantum-computer-systems-for-scientific-discovery/)
- [Optimization of NULL convention self-timed circuits](https://scholariq.org/papers/optimization-of-null-convention-self-timed-circuits/)
- [Designing Asynchronous Circuits using NULL Convention Logic (NCL)](https://scholariq.org/papers/designing-asynchronous-circuits-using-null-convention-logic-ncl-2/)
- [Multi-Threshold NULL Convention Logic (MTNCL): An Ultra-Low Power Asynchronous Circuit Design Methodology](https://scholariq.org/papers/multi-threshold-null-convention-logic-mtncl-an-ultra-low-power-asynchronous/)
- [Room-Temperature Single-Molecule Conductance Switch via Confined Coordination-Induced Spin-State Manipulation](https://scholariq.org/papers/room-temperature-single-molecule-conductance-switch-via-confined-coordination/)
- [Qubit Inspired Neural Network towards Its Practical Applications](https://scholariq.org/papers/qubit-inspired-neural-network-towards-its-practical-applications/)
- [A Fast Algorithm for Synthesis of Quantum Reversible Logic Circuits](https://scholariq.org/papers/a-fast-algorithm-for-synthesis-of-quantum-reversible-logic-circuits/)
- [Quantum Machine Learning of Bigdata Set Using Randomized Measurements](https://scholariq.org/papers/quantum-machine-learning-of-bigdata-set-using-randomized-measurements/)
- [Quantum Convolutional Neural Networks for Enhanced Crop Disease Detection and Management: A Step Towards Intelligent Farming Systems](https://scholariq.org/papers/quantum-convolutional-neural-networks-for-enhanced-crop-disease-detection-and/)

## Topic researchers

Showing 12 of 20.

- [Rodney S. Ruoff](https://scholariq.org/researchers/rodney-s-ruoff/)
- [Lei Jiang](https://scholariq.org/researchers/lei-jiang/)
- [Klaus Schulten](https://scholariq.org/researchers/klaus-schulten/)
- [Charles M. Lieber](https://scholariq.org/researchers/charles-m-lieber/)
- [J. Fraser Stoddart](https://scholariq.org/researchers/j-fraser-stoddart/)
- [James M. Tour](https://scholariq.org/researchers/james-m-tour/)
- [Steven G. Louie](https://scholariq.org/researchers/steven-g-louie/)
- [Marvin L. Cohen](https://scholariq.org/researchers/marvin-l-cohen/)
- [Ian F. Akyildiz](https://scholariq.org/researchers/ian-f-akyildiz/)
- [Martin Head‐Gordon](https://scholariq.org/researchers/martin-head-gordon/)
- [Mikhail D. Lukin](https://scholariq.org/researchers/mikhail-d-lukin/)
- [David Vanderbilt](https://scholariq.org/researchers/david-vanderbilt/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.