Daniel Sank
Impact in
- Atomic and Molecular Physics, and Optics top 0.05%
- Quantum and electron transport phenomena
- Mechanical and Optical Resonators
- Quantum many-body systems
- Quantum Mechanics and Applications
- Cold Atom Physics and Bose-Einstein Condensates
- Quantum optics and atomic interactions
- Artificial Intelligence top 0.02%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
Papers in
-
- Quantum and electron transport phenomena 47
- Quantum many-body systems 15
- Quantum Mechanics and Applications 9
- Mechanical and Optical Resonators 7
-
- Quantum Information and Cryptography 65
- Quantum Computing Algorithms and Architecture 58
- Co-authors
- John M. Martinis (34 shared papers)J. Wenner (31 shared papers)Andrew N. Cleland (31 shared papers)Erik A. Lucero (29 shared papers)Radoslaw C. Bialczak (21 shared papers)Matthew Neeley (20 shared papers)Haizhu WANG (18 shared papers)M. Ansmann (8 shared papers)
- Journals
- Physical Review Letters (19 papers)Nature (17 papers)Applied Physics Letters (11 papers)Science (9 papers)Nature Physics (8 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Daniel Sank
92 papers receiving 16.9k citations
Daniel Sank's Hit Papers
Peers
Comparison fields: 5 of 124
- Atomic and Molecular Physics, and Optics 13.2k
- Artificial Intelligence 12.5k
- Condensed Matter Physics 1.1k
- Statistical and Nonlinear Physics 981
- Computational Theory and Mathematics 1.1k
Countries citing papers authored by Daniel Sank
This map shows the geographic impact of Daniel Sank'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 Daniel Sank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Sank more than expected).
Fields of papers citing papers by Daniel Sank
This network shows the impact of papers produced by Daniel Sank. 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 Daniel Sank. The network helps show where Daniel Sank may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Sank, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Quantum supremacy using a programmable superconducting processor Hit paper breakdown → | 2019 | 1730 |
| 2 | Quantum ground state and single-phonon control of a mechanical resonator Hit paper breakdown → | 2010 | 1511 |
| 3 | Superconducting quantum circuits at the surface code threshold for fault tolerance Hit paper breakdown → | 2014 | 1191 |
| 4 | Suppressing quantum errors by scaling a surface code logical qubit Hit paper breakdown → | 2023 | 731 |
| 5 | Scalable Quantum Simulation of Molecular Energies Hit paper breakdown → | 2015 | 677 |
| 6 | Synthesizing arbitrary quantum states in a superconducting resonator Hit paper breakdown → | 2009 | 659 |
| 7 | State preservation by repetitive error detection in a superconducting quantum circuit Hit paper breakdown → | 2015 | 589 |
| 8 | Coherent Josephson Qubit Suitable for Scalable Quantum Integrated Circuits Hit paper breakdown → | 2013 | 536 |
| 9 | Qubit Architecture with High Coherence and Fast Tunable Coupling Hit paper breakdown → | 2014 | 406 |
| 10 | Spectroscopic signatures of localization with interacting photons in superconducting qubits Hit paper breakdown → | 2017 | 335 |
| 11 | Quantum error correction below the surface code threshold Hit paper breakdown → | 2024 | 335 |
| 12 | Digitized adiabatic quantum computing with a superconducting circuit Hit paper breakdown → | 2016 | 323 |
| 13 | 2010 | 322 | |
| 14 | Chiral ground-state currents of interacting photons in a synthetic magnetic field Hit paper breakdown → | 2016 | 321 |
| 15 | Fast Accurate State Measurement with Superconducting Qubits Hit paper breakdown → | 2014 | 319 |
| 16 | 2012 | 313 | |
| 17 | A blueprint for demonstrating quantum supremacy with superconducting qubits Hit paper breakdown → | 2018 | 298 |
| 18 | 2009 | 297 | |
| 19 | Exponential suppression of bit or phase errors with cyclic error correction Hit paper breakdown → | 2021 | 296 |
| 20 | Time-crystalline eigenstate order on a quantum processor Hit paper breakdown → | 2021 | 257 |
About Daniel Sank
Daniel Sank is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Condensed Matter Physics, Astronomy and Astrophysics and Statistical and Nonlinear Physics, having authored 92 papers that have together received 17.4k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (65 papers), Quantum Computing Algorithms and Architecture (58 papers), Quantum and electron transport phenomena (47 papers), Quantum many-body systems (15 papers), Physics of Superconductivity and Magnetism (10 papers), Quantum Mechanics and Applications (9 papers), Advancements in Semiconductor Devices and Circuit Design (8 papers) and Mechanical and Optical Resonators (7 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (13.2k citations), Artificial Intelligence (12.5k citations), Condensed Matter Physics (1.1k citations), Statistical and Nonlinear Physics (981 citations) and Computational Theory and Mathematics (1.1k citations). Daniel Sank has collaborated with scholars based in United States, Japan and China. Frequent co-authors include John M. Martinis, J. Wenner, Andrew N. Cleland, Erik A. Lucero, Radoslaw C. Bialczak, Matthew Neeley, Haizhu WANG, M. Ansmann, M. Hofheinz and Martin P. Weides. Their work appears in journals such as Physical Review Letters, Nature, Applied Physics Letters, Science and Nature Physics.
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.