D. Sank
Impact in
- Artificial Intelligence top 0.02%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
-
- Mechanical and Optical Resonators
- Quantum many-body systems
- Quantum Mechanics and Applications
- Quantum and electron transport phenomena
- Topological Materials and Phenomena
Papers in
-
- Quantum Information and Cryptography 63
- Quantum Computing Algorithms and Architecture 24
-
- Quantum many-body systems 13
- Mechanical and Optical Resonators 5
- Quantum and electron transport phenomena 3
- Topological Materials and Phenomena 3
- Quantum Mechanics and Applications 3
- Co-authors
- John M. Martinis (33 shared papers)J. Wenner (31 shared papers)Andrew N. Cleland (30 shared papers)Erik A. Lucero (28 shared papers)Radoslaw C. Bialczak (20 shared papers)M. Neeley (19 shared papers)Haohua Wang (17 shared papers)M. Ansmann (8 shared papers)
- Journals
- Physical Review Letters (20 papers)Nature (17 papers)Applied Physics Letters (11 papers)Science (9 papers)Nature Physics (8 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
D. Sank
90 papers receiving 16.7k citations
D. Sank's Hit Papers
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 11.8k
- Atomic and Molecular Physics, and Optics 6.4k
- Astronomy and Astrophysics 1.2k
- Statistical and Nonlinear Physics 560
- Condensed Matter Physics 431
Countries citing papers authored by D. Sank
This map shows the geographic impact of D. 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 D. Sank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Sank more than expected).
Fields of papers citing papers by D. Sank
This network shows the impact of papers produced by D. 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 D. Sank. The network helps show where D. Sank may publish in the future.
Co-authors
The 25 scholars most cited alongside D. 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Quantum ground state and single-phonon control of a mechanical resonator Hit paper breakdown → | 2010 | 1644 |
| 2 | Superconducting quantum circuits at the surface code threshold for fault tolerance Hit paper breakdown → | 2014 | 1375 |
| 3 | Suppressing quantum errors by scaling a surface code logical qubit Hit paper breakdown → | 2023 | 798 |
| 4 | Synthesizing arbitrary quantum states in a superconducting resonator Hit paper breakdown → | 2009 | 724 |
| 5 | State preservation by repetitive error detection in a superconducting quantum circuit Hit paper breakdown → | 2015 | 712 |
| 6 | Coherent Josephson Qubit Suitable for Scalable Quantum Integrated Circuits Hit paper breakdown → | 2013 | 615 |
| 7 | Qubit Architecture with High Coherence and Fast Tunable Coupling Hit paper breakdown → | 2014 | 466 |
| 8 | Quantum error correction below the surface code threshold Hit paper breakdown → | 2024 | 405 |
| 9 | Spectroscopic signatures of localization with interacting photons in superconducting qubits Hit paper breakdown → | 2017 | 381 |
| 10 | Planar superconducting resonators with internal quality factors above one million Hit paper breakdown → | 2012 | 378 |
| 11 | Digitized adiabatic quantum computing with a superconducting circuit Hit paper breakdown → | 2016 | 374 |
| 12 | Chiral ground-state currents of interacting photons in a synthetic magnetic field Hit paper breakdown → | 2016 | 367 |
| 13 | Fast Accurate State Measurement with Superconducting Qubits Hit paper breakdown → | 2014 | 361 |
| 14 | A blueprint for demonstrating quantum supremacy with superconducting qubits Hit paper breakdown → | 2018 | 351 |
| 15 | Generation of three-qubit entangled states using superconducting phase qubits Hit paper breakdown → | 2010 | 350 |
| 16 | 2009 | 320 | |
| 17 | Exponential suppression of bit or phase errors with cyclic error correction Hit paper breakdown → | 2021 | 316 |
| 18 | 2015 | 275 | |
| 19 | 2018 | 264 | |
| 20 | Time-crystalline eigenstate order on a quantum processor Hit paper breakdown → | 2021 | 262 |
About D. Sank
D. Sank is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Astronomy and Astrophysics, Statistical and Nonlinear Physics and Condensed Matter Physics, having authored 90 papers that have together received 17.2k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (63 papers), Quantum Computing Algorithms and Architecture (24 papers), Quantum many-body systems (13 papers), Superconducting and THz Device Technology (9 papers), Mechanical and Optical Resonators (5 papers), Quantum and electron transport phenomena (3 papers), Topological Materials and Phenomena (3 papers) and Quantum Mechanics and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (11.8k citations), Atomic and Molecular Physics, and Optics (6.4k citations), Astronomy and Astrophysics (1.2k citations), Statistical and Nonlinear Physics (560 citations) and Condensed Matter Physics (431 citations). D. 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, M. Neeley, Haohua 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.