Seth Merkel
- Artificial Intelligence top 0.5%
- Quantum Information and Cryptography 26
- Quantum Computing Algorithms and Architecture 19
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- Quantum and electron transport phenomena 8
- Atomic and Subatomic Physics Research 3
- Cold Atom Physics and Bose-Einstein Condensates 3
- Quantum Mechanics and Applications 3
- Laser-Matter Interactions and Applications 3
- Condensed Matter Physics top 10%
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- Advancements in Semiconductor Devices and Circuit Design 4
Seth Merkel
28 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 2.0k
- Atomic and Molecular Physics, and Optics 1.9k
- Condensed Matter Physics 87
- Acoustics and Ultrasonics 6
- Computational Theory and Mathematics 102
Countries citing papers authored by Seth Merkel
This map shows the geographic impact of Seth Merkel'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 Seth Merkel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seth Merkel more than expected).
Fields of papers citing papers by Seth Merkel
This network shows the impact of papers produced by Seth Merkel. 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 Seth Merkel. The network helps show where Seth Merkel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Seth Merkel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | Encoding a magic state with beyond break-even fidelitybreakdown → | 2024 | 55 |
| 3 | 2024 | 3 | |
| 4 | 2023 | 12 | |
| 5 | 2021 | 5 | |
| 6 | Experimental considerations for zero noise extrapolation | 2020 | 1 |
| 7 | 2018 | 18 | |
| 8 | 2016 | 194 | |
| 9 | High-fidelity gates towards a scalable superconducting quantum processor | 2012 | 2 |
| 10 | 2012 | 149 | |
| 11 | 2012 | 230 | |
| 12 | 2012 | 79 | |
| 13 | 2012 | 243 | |
| 14 | Coarse-grained optimal control methods for fast time-varying Hamiltonians | 2011 | 1 |
| 15 | 2011 | 169 | |
| 16 | 2011 | 154 | |
| 17 | 2010 | 24 | |
| 18 | 2009 | 1 | |
| 19 | 2008 | 25 | |
| 20 | 2007 | 96 |
About Seth Merkel
Seth Merkel is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 29 papers that have together received 2.3k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (26 papers), Quantum Computing Algorithms and Architecture (19 papers), Quantum and electron transport phenomena (8 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Atomic and Subatomic Physics Research (3 papers), Cold Atom Physics and Bose-Einstein Condensates (3 papers), Quantum Mechanics and Applications (3 papers) and Laser-Matter Interactions and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Atomic and Molecular Physics, and Optics (1.9k citations), Condensed Matter Physics (87 citations), Acoustics and Ultrasonics (6 citations) and Computational Theory and Mathematics (102 citations). Seth Merkel has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Jay Gambetta, Matthias Steffen, Jerry M. Chow, Antonio Córcoles, John A. Smolin, Stefano Poletto, Frank K. Wilhelm, M. B. Ketchen, Chad Rigetti and George Keefe. Their work appears in journals such as Physical Review A, Physical Review Letters, Physical Review Applied, New Journal of Physics and Physical Review B.
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.