Quantum Computing Algorithms and Architecture
Quantum Computing Algorithms and Architecture is a research topic within Artificial Intelligence. Science Explorer counts 36k research works in it since 1950. 27.8% of them reached the world's top 10% most cited for their field and year.
This cluster of papers represents a wide range of advancements in quantum computing and simulation, covering topics such as fault-tolerant quantum computation, quantum machine learning, adiabatic quantum computation, quantum error correction, and topological quantum memory. The research also delves into quantum algorithms, variational quantum algorithms, and quantum simulation of various systems.
- Quantum Computation
- Quantum Information
- Quantum Algorithms
- Fault-tolerant Quantum Computation
- Quantum Machine Learning
- Quantum Simulation
- Variational Quantum Algorithms
- Adiabatic Quantum Computation
- Quantum Error Correction
- Topological Quantum Memory
- Research works
- 36k fractional, since 1950
- In the world top 10%
- 9.9k per year above
- Top-10% rate
- 27.8% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +64% the tick is no change
Which countries lead Quantum Computing Algorithms and Architecture research?
By volume, the United States and China publish the most (2.3k and 2.1k works in 2022–2025).
By volume, 2022–2025
- 1 United States 2.3k works
- 2 China 2.1k works
- 3 India 1.1k works
- 4 Germany 654 works
- 5 Japan 533 works
- 6 United Kingdom 441 works
- 7 Italy 416 works
- 8 Spain 284 works
- 9 Canada 277 works
- 10 France 275 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 Computing Algorithms and Architecture research?
By volume in 2022–2025, University of Science and Technology of China publishes the most Quantum Computing Algorithms and Architecture research, followed by Tsinghua University and Technical University of Munich.
By volume, 2022–2025
- 1 University of Science and Technology of China China 79 works
- 2 Tsinghua University China 66 works
- 3 Technical University of Munich Germany 59 works
- 4 Beijing University of Posts and Telecommunications China 58 works
- 5 National University of Singapore Singapore 51 works
- 6 The University of Tokyo Japan 48 works
- 7 University of Waterloo Canada 46 works
- 8 University of Oxford United Kingdom 45 works
- 9 Massachusetts Institute of Technology United States 44 works
- 10 University of Chicago United States 43 works
Who are the leading researchers in Quantum Computing Algorithms and Architecture?
The most-cited researchers publishing on Quantum Computing Algorithms and Architecture include Dan Boneh, Dacheng Tao and S. Vallecorsa.
- 1 Dan Boneh 7.5k citations
- 2 Dacheng Tao 6.1k citations
- 3 S. Vallecorsa 5.9k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Quantum Computing Algorithms and Architecture research done?
The largest centres of Quantum Computing Algorithms and Architecture research in 2022–2025 are Beijing (China), Tokyo (Japan), Hefei (China) and Munich (Germany). Among places with at least 20 works in it, it is an unusually large share of all research in Armonk and Batavia.
Largest cities, 2022–2025
Where it is the local speciality
- ArmonkUS · 24.5 works48×
- BataviaUS · 23.8 works23×
Location quotient: how much more of its research is in Quantum Computing Algorithms and Architecture than the world average.
Where is the best place to study Quantum Computing Algorithms and Architecture?
Among universities, judged by research, California Institute of Technology, Munich Center for Quantum Science and Technology and University of Chicago 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 | California Institute of Technology United States | 69.7 | 51.1% | 14.8× | 39 | +36.2% |
| 2 | Munich Center for Quantum Science and Technology Germany | 63.2 | 45.2% | 103.2× | 16 | — |
| 3 | University of Chicago United States | 61.5 | 42.5% | 4.9× | 43 | +245.8% |
| 4 | Delft University of Technology Netherlands | 60.6 | 33.3% | 5.5× | 40 | +296.1% |
| 5 | University of Maryland, College Park United States | 59.1 | 31.2% | 6.6× | 39 | +177.3% |
| 6 | Massachusetts Institute of Technology United States | 57.9 | 48.8% | 6.6× | 44 | -12.6% |
| 7 | Universität Innsbruck Austria | 57.4 | 39.0% | 8.4× | 26 | +41.8% |
| 8 | Stony Brook University United States | 56.1 | 32.0% | 8.7× | 28 | +77.3% |
| 9 | Yale University United States | 55.8 | 49.2% | 2.9× | 31 | +177.6% |
| 10 | Technical University of Munich Germany | 54.5 | 28.1% | 6.8× | 59 | +33.2% |
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 Computing Algorithms and Architecture research growing?
Output in 2018–2022 was 64% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Quantum Computing Algorithms and Architecture.
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.