Brian Tarasinski

1.7k total citations
21 papers, 1.1k citations indexed

About

Brian Tarasinski is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Brian Tarasinski has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atomic and Molecular Physics, and Optics, 15 papers in Artificial Intelligence and 5 papers in Condensed Matter Physics. Recurrent topics in Brian Tarasinski's work include Quantum Information and Cryptography (14 papers), Quantum and electron transport phenomena (13 papers) and Quantum Computing Algorithms and Architecture (13 papers). Brian Tarasinski is often cited by papers focused on Quantum Information and Cryptography (14 papers), Quantum and electron transport phenomena (13 papers) and Quantum Computing Algorithms and Architecture (13 papers). Brian Tarasinski collaborates with scholars based in Netherlands, United States and Germany. Brian Tarasinski's co-authors include János K. Asbóth, Thomas E. O’Brien, Pierre Delplace, L. DiCarlo, Barbara M. Terhal, C. W. J. Beenakker, Alessandro Bruno, Nadia Haider, Paul Baireuther and Michael Wimmer and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Physical Review B.

In The Last Decade

Brian Tarasinski

21 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brian Tarasinski Netherlands 15 802 611 153 123 122 21 1.1k
Jonilyn Yoder United States 19 1.2k 1.5× 969 1.6× 155 1.0× 93 0.8× 237 1.9× 39 1.5k
Juha J. Vartiainen Finland 13 571 0.7× 740 1.2× 88 0.6× 47 0.4× 171 1.4× 20 1.1k
Oliver Dial United States 14 1.2k 1.5× 912 1.5× 104 0.7× 112 0.9× 421 3.5× 23 1.5k
Stefano Poletto United States 12 1.3k 1.7× 1.3k 2.2× 265 1.7× 53 0.4× 241 2.0× 24 1.7k
Yvonne Y. Gao United States 13 1.0k 1.3× 907 1.5× 191 1.2× 44 0.4× 163 1.3× 22 1.3k
Nissim Ofek United States 13 1.8k 2.3× 1.4k 2.4× 191 1.2× 134 1.1× 331 2.7× 16 2.1k
Christian Kraglund Andersen Denmark 16 813 1.0× 824 1.3× 93 0.6× 25 0.2× 118 1.0× 40 1.1k
Fengping Jin Germany 16 452 0.6× 375 0.6× 79 0.5× 66 0.5× 48 0.4× 49 697
A. Megrant United States 14 1.6k 2.0× 1.4k 2.3× 260 1.7× 53 0.4× 321 2.6× 18 1.9k
Chu Guo China 18 638 0.8× 587 1.0× 91 0.6× 36 0.3× 65 0.5× 71 947

Countries citing papers authored by Brian Tarasinski

Since Specialization
Citations

This map shows the geographic impact of Brian Tarasinski'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 Brian Tarasinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Tarasinski more than expected).

Fields of papers citing papers by Brian Tarasinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Tarasinski. 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 Brian Tarasinski. The network helps show where Brian Tarasinski may publish in the future.

Co-authorship network of co-authors of Brian Tarasinski

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Tarasinski. A scholar is included among the top collaborators of Brian Tarasinski 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 Brian Tarasinski. Brian Tarasinski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Rol, M. A., Filip K. Malinowski, Brian Tarasinski, et al.. (2020). Time-domain characterization and correction of on-chip distortion of control pulses in a quantum processor. Applied Physics Letters. 116(5). 50 indexed citations
3.
Bultink, Cornelis Christiaan, Thomas E. O’Brien, Nandini Muthusubramanian, et al.. (2020). Protecting quantum entanglement from leakage and qubit errors via repetitive parity measurements. Science Advances. 6(12). eaay3050–eaay3050. 36 indexed citations
4.
Battistel, Francesco, Brian Tarasinski, Viacheslav Ostroukh, et al.. (2020). Leakage detection for a transmon-based surface code. npj Quantum Information. 6(1). 37 indexed citations
5.
Bultink, Cornelis Christiaan, Thomas E. O’Brien, Nandini Muthusubramanian, et al.. (2019). Protecting quantum entanglement from qubit errors and leakage via repetitive parity measurements. arXiv (Cornell University). 3 indexed citations
6.
Muthusubramanian, Nandini, Alessandro Bruno, Brian Tarasinski, et al.. (2019). Local trimming of transmon qubit frequency by laser annealing of Josephson junctions. Bulletin of the American Physical Society. 2019. 2 indexed citations
7.
Rol, M. A., Francesco Battistel, Filip K. Malinowski, et al.. (2019). Fast, High-Fidelity Conditional-Phase Gate Exploiting Leakage Interference in Weakly Anharmonic Superconducting Qubits. Physical Review Letters. 123(12). 120502–120502. 107 indexed citations
8.
O’Brien, Thomas E., Brian Tarasinski, & Barbara M. Terhal. (2019). Quantum phase estimation of multiple eigenvalues for small-scale (noisy) experiments. New Journal of Physics. 21(2). 23022–23022. 95 indexed citations
9.
Baireuther, Paul, Thomas E. O’Brien, Brian Tarasinski, & C. W. J. Beenakker. (2018). Machine-learning-assisted correction of correlated qubit errors in a topological code. Quantum. 2. 48–48. 76 indexed citations
10.
Tarasinski, Brian, et al.. (2018). Adaptive Weight Estimator for Quantum Error Correction in a Time‐Dependent Environment (Adv. Quantum Technol. 1/2018). Advanced Quantum Technologies. 1(1). 4 indexed citations
11.
Bultink, Cornelis Christiaan, Brian Tarasinski, Niels Haandbæk, et al.. (2017). General method for extracting the quantum efficiency of dispersive qubit readout in circuit QED. TNO Repository. 2018. 1 indexed citations
12.
O’Brien, Thomas E., Brian Tarasinski, & L. DiCarlo. (2017). Density-matrix simulation of small surface codes under current and projected experimental noise. npj Quantum Information. 3(1). 53 indexed citations
13.
Poletto, Stefano, N. Khammassi, Brian Tarasinski, et al.. (2017). Scalable Quantum Circuit and Control for a Superconducting Surface Code. Physical Review Applied. 8(3). 114 indexed citations
14.
Tarasinski, Brian, et al.. (2016). Attractor-repeller pair of topological zero modes in a nonlinear quantum walk. Physical review. A. 93(2). 17 indexed citations
15.
Baireuther, Paul, Timo Hyart, Brian Tarasinski, & C. W. J. Beenakker. (2015). Andreev-Bragg Reflection from an Amperian Superconductor. Physical Review Letters. 115(9). 97001–97001. 3 indexed citations
16.
Tarasinski, Brian, Denis Chevallier, Jimmy A. Hutasoit, B. Baxevanis, & C. W. J. Beenakker. (2015). Quench dynamics of fermion-parity switches in a Josephson junction. Physical Review B. 92(14). 18 indexed citations
17.
Weperen, Ilse van, Brian Tarasinski, Debbie Eeltink, et al.. (2015). Spin-orbit interaction in InSb nanowires. Physical Review B. 91(20). 114 indexed citations
18.
Tarasinski, Brian, János K. Asbóth, & J. P. Dahlhaus. (2014). Scattering theory of topological phases in discrete-time quantum walks. Physical Review A. 89(4). 48 indexed citations
19.
Asbóth, János K., Brian Tarasinski, & Pierre Delplace. (2014). Chiral symmetry and bulk-boundary correspondence in periodically driven one-dimensional systems. Physical Review B. 90(12). 190 indexed citations
20.
Tarasinski, Brian & Georg Schwiete. (2013). Fluctuation conductivity of disordered superconductors in magnetic fields. Physical Review B. 88(1). 2 indexed citations

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.

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