Piotr Czarnik
- Atomic and Molecular Physics, and Optics top 5%
- Artificial Intelligence top 5%
- Condensed Matter Physics top 5%
- Statistical and Nonlinear Physics top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Jacek DziarmagaŁukasz CincioPhilippe CorbozMarek M. RamsPatrick J. ColesM. CerezoMartín LaroccaKunal Sharma
- Topics
- Quantum many-body systems (17 papers)Quantum and electron transport phenomena (13 papers)Quantum Computing Algorithms and Architecture (11 papers)
- Partner nations
- PolandUnited StatesNetherlands
In The Last Decade
Piotr Czarnik
22 papers receiving 811 citations
Hit Papers
Peers
Comparison fields: 5 of 31
- Atomic and Molecular Physics, and Optics 625
- Artificial Intelligence 373
- Condensed Matter Physics 355
- Statistical and Nonlinear Physics 77
- Computational Theory and Mathematics 56
Countries citing papers authored by Piotr Czarnik
This map shows the geographic impact of Piotr Czarnik'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 Piotr Czarnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piotr Czarnik more than expected).
Fields of papers citing papers by Piotr Czarnik
This network shows the impact of papers produced by Piotr Czarnik. 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 Piotr Czarnik. The network helps show where Piotr Czarnik may publish in the future.
Co-authorship network of co-authors of Piotr Czarnik
This figure shows the co-authorship network connecting the top 25 collaborators of Piotr Czarnik. A scholar is included among the top collaborators of Piotr Czarnik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Piotr Czarnik. Piotr Czarnik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | Error mitigation with Clifford quantum-circuit databreakdown → | 71 |
| 4 | 21 | |
| 5 | 8 | |
| 6 | 21 | |
| 7 | Diagnosing Barren Plateaus with Tools from Quantum Optimal Controlbreakdown → | 139 |
| 8 | 13 | |
| 9 | 21 | |
| 10 | 78 | |
| 11 | 34 | |
| 12 | 21 | |
| 13 | Precise extrapolation of the correlation function asymptotics in uniform tensor network states with application to the Bose-Hubbard and XXZ models | 63 |
| 14 | 20 | |
| 15 | 44 | |
| 16 | 27 | |
| 17 | 5 | |
| 18 | 61 | |
| 19 | 26 | |
| 20 | 69 |
About Piotr Czarnik
Piotr Czarnik is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 24 papers that have together received 826 indexed citations. Recurring topics across this work include Quantum many-body systems (17 papers), Quantum and electron transport phenomena (13 papers) and Quantum Computing Algorithms and Architecture (11 papers). The work is most often cited by research in Computational Mathematics (31 citations), Condensed Matter Physics (355 citations) and Atomic and Molecular Physics, and Optics (625 citations). Piotr Czarnik has collaborated with scholars based in Poland, United States and Netherlands. Frequent co-authors include Jacek Dziarmaga, Łukasz Cincio, Philippe Corboz, Marek M. Rams, Patrick J. Coles, M. Cerezo, Martín Larocca, Kunal Sharma, Andrzej M. Oleś and Andrew Arrasmith. Their work appears in journals such as Physical Review B, Physical review. B. and npj Quantum Information.
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.