Nathan Wiebe

10.7k citations
67 papers · 5.9k indexed · 3 hit papers · h-index 28

Impact in

Papers in

Nathan Wiebe

64 papers receiving 5.6k citations

Hit Papers

Circuit-centric quantum classifiers 2020 · 532 citations
532201720262020202350010001.5k2.0k

Peers

Nathan Wiebe
Comparison fields: 5 of 128
  • Artificial Intelligence 5.1k
  • Atomic and Molecular Physics, and Optics 2.4k
  • Computational Theory and Mathematics 967
  • Computational Mathematics 17
  • Statistical and Nonlinear Physics 234
Replace Ryan Babbush with:
Ryan Babbush United States
Jacob Biamonte Russia
Aram W. Harrow United States
Maria Schuld South Africa
Kristan Temme United States
Patrick Rebentrost United States
Sergio Boixo United States
Jarrod R. McClean United States
Patrick J. Coles United States
Péter Wittek Sweden
Nathan Wiebe relative to Ryan Babbush United States Ryan Babbush's profile →
Citations per field
00.5×1.5×
Ryan Babbush · 1×
Citations per year

Countries citing papers authored by Nathan Wiebe

Since Specialization
Citations

This map shows the geographic impact of Nathan Wiebe's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nathan Wiebe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Wiebe more than expected).

Fields of papers citing papers by Nathan Wiebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan Wiebe. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nathan Wiebe. The network helps show where Nathan Wiebe may publish in the future.

Co-authors

The 25 scholars most cited alongside Nathan Wiebe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nathan Wiebe Line = papers co-authored together Nathan Wiebe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 202410
3 202447
4 20249
5 202336
6 202318
7 202334
8 202310
9 202255
10 20207
11 202027
12 201915
13 2018124
14 20184
15
Quantum machine learning
Hit paper breakdown →
20172441
16 2017112
17
Quantum simulation of Hamiltonian spectra on a silicon chip
20164
18
Quantum perceptron models
201643
19
Quantum Nearest-Neighbor Algorithms for Machine Learning
201436
20 201314

About Nathan Wiebe

Nathan Wiebe is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Hardware and Architecture and Statistical and Nonlinear Physics, having authored 67 papers that have together received 5.9k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (57 papers), Quantum Information and Cryptography (44 papers), Quantum and electron transport phenomena (14 papers), Neural Networks and Reservoir Computing (12 papers), Quantum many-body systems (10 papers), Quantum Mechanics and Applications (9 papers), Quantum-Dot Cellular Automata (9 papers) and Low-power high-performance VLSI design (4 papers). The work is most often cited by research in Artificial Intelligence (5.1k citations), Atomic and Molecular Physics, and Optics (2.4k citations), Computational Theory and Mathematics (967 citations), Computational Mathematics (17 citations) and Statistical and Nonlinear Physics (234 citations). Nathan Wiebe has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jacob Biamonte, Seth Lloyd, Nicola Pancotti, Péter Wittek, Patrick Rebentrost, Krysta M. Svore, Dave Wecker, Maria Schuld, Alex Bocharov and Matthias Troyer. Their work appears in journals such as New Journal of Physics, Quantum, Physical Review Letters, PRX Quantum and Quantum Information and Computation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026