Kyle Serniak

1.3k total citations
25 papers, 659 citations indexed

About

Kyle Serniak is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Nuclear and High Energy Physics. According to data from OpenAlex, Kyle Serniak has authored 25 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atomic and Molecular Physics, and Optics, 20 papers in Artificial Intelligence and 2 papers in Nuclear and High Energy Physics. Recurrent topics in Kyle Serniak's work include Quantum Information and Cryptography (20 papers), Quantum and electron transport phenomena (17 papers) and Quantum Computing Algorithms and Architecture (11 papers). Kyle Serniak is often cited by papers focused on Quantum Information and Cryptography (20 papers), Quantum and electron transport phenomena (17 papers) and Quantum Computing Algorithms and Architecture (11 papers). Kyle Serniak collaborates with scholars based in United States, Netherlands and Germany. Kyle Serniak's co-authors include Max Hays, G. de Lange, Michel Devoret, Manuel Houzet, Luigi Frunzio, Shyam Shankar, Mollie E. Schwartz, William D. Oliver, Bethany M. Niedzielski and Jeffrey A. Grover and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

Kyle Serniak

23 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle Serniak United States 13 496 306 162 66 58 25 659
K. Bladh Sweden 12 536 1.1× 341 1.1× 112 0.7× 149 2.3× 118 2.0× 18 670
S. E. de Graaf United Kingdom 13 367 0.7× 165 0.5× 129 0.8× 171 2.6× 74 1.3× 38 533
Fabio Altomare United States 12 492 1.0× 316 1.0× 122 0.8× 64 1.0× 54 0.9× 16 566
Angela Kou United States 13 782 1.6× 501 1.6× 141 0.9× 117 1.8× 202 3.5× 24 954
M. J. Schwarz Germany 5 1.1k 2.1× 852 2.8× 167 1.0× 99 1.5× 76 1.3× 9 1.3k
Susumu Sasaki Japan 9 131 0.3× 65 0.2× 44 0.3× 110 1.7× 122 2.1× 28 331
W. E. Shanks United States 10 577 1.2× 193 0.6× 70 0.4× 197 3.0× 83 1.4× 13 661
Yonathan Japha Israel 13 570 1.1× 206 0.7× 15 0.1× 51 0.8× 36 0.6× 36 612
Shlomi Matityahu Israel 10 272 0.5× 79 0.3× 54 0.3× 140 2.1× 68 1.2× 17 344
K. Gao China 18 920 1.9× 435 1.4× 49 0.3× 89 1.3× 59 1.0× 39 1.0k

Countries citing papers authored by Kyle Serniak

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Serniak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Serniak

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Serniak. A scholar is included among the top collaborators of Kyle Serniak 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 Kyle Serniak. Kyle Serniak 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.
Niedzielski, Bethany M., et al.. (2025). Interferometric Purcell suppression of spontaneous emission in a superconducting qubit. Physical Review Applied. 23(2). 1 indexed citations
2.
Hays, Max, Bharath Kannan, Alex Greene, et al.. (2025). Deterministic remote entanglement using a chiral quantum interconnect. Nature Physics. 21(5). 825–830. 7 indexed citations
3.
Harrington, P. M., Mingyu Li, Max Hays, et al.. (2025). Synchronous detection of cosmic rays and correlated errors in superconducting qubit arrays. Nature Communications. 16(1). 6428–6428. 6 indexed citations
4.
Tanaka, M., Joel I-Jan Wang, Daniel Rodan‐Legrain, et al.. (2025). Superfluid stiffness of magic-angle twisted bilayer graphene. Nature. 638(8049). 99–105. 17 indexed citations
5.
Karamlou, Amir H., Ilan T. Rosen, Agustín Di Paolo, et al.. (2024). Probing entanglement in a 2D hard-core Bose–Hubbard lattice. Nature. 629(8012). 561–566. 14 indexed citations
6.
Hays, Max, P. M. Harrington, Ilan T. Rosen, et al.. (2024). Suppressing Counter-Rotating Errors for Fast Single-Qubit Gates with Fluxonium. PRX Quantum. 5(4). 15 indexed citations
7.
Rosen, Ilan T., Max Hays, Amir H. Karamlou, et al.. (2024). A synthetic magnetic vector potential in a 2D superconducting qubit array. Nature Physics. 20(12). 1881–1887. 9 indexed citations
8.
Hays, Max, Kyle Serniak, & William D. Oliver. (2024). Informing Potential Remedies for Quasiparticle Poisoning. Physics. 17. 1 indexed citations
9.
Niedzielski, Bethany M., et al.. (2024). Directional emission of a readout resonator for qubit measurement. Physical Review Applied. 22(3). 3 indexed citations
10.
Hays, Max, Youngkyu Sung, Bharath Kannan, et al.. (2023). High-Fidelity, Frequency-Flexible Two-Qubit Fluxonium Gates with a Transmon Coupler. Physical Review X. 13(3). 74 indexed citations
11.
Hazard, Thomas, Wayne Woods, Cyrus F. Hirjibehedin, et al.. (2023). Characterization of superconducting through-silicon vias as capacitive elements in quantum circuits. Applied Physics Letters. 123(15). 9 indexed citations
12.
Aumentado, José, Gianluigi Catelani, & Kyle Serniak. (2023). Quasiparticle poisoning in superconducting quantum computers. Physics Today. 76(8). 34–39. 9 indexed citations
13.
Kannan, Bharath, Youngkyu Sung, Agustín Di Paolo, et al.. (2023). On-demand directional microwave photon emission using waveguide quantum electrodynamics. Nature Physics. 19(3). 394–400. 80 indexed citations
14.
Karamlou, Amir H., Ilan T. Rosen, Jochen Braumüller, et al.. (2023). Learning-Based Calibration of Flux Crosstalk in Transmon Qubit Arrays. Physical Review Applied. 20(2). 14 indexed citations
15.
Menke, Tim, Agustín Di Paolo, Antti Vepsäläinen, et al.. (2022). Demonstration of Tunable Three-Body Interactions between Superconducting Qubits. Physical Review Letters. 129(22). 220501–220501. 14 indexed citations
16.
Fatemi, Valla, Max Hays, Kyle Serniak, et al.. (2022). Distinguishing Parity-Switching Mechanisms in a Superconducting Qubit. PRX Quantum. 3(4). 26 indexed citations
17.
Houzet, Manuel, Kyle Serniak, Gianluigi Catelani, Michel Devoret, & L. I. Glazman. (2019). Photon-Assisted Charge-Parity Jumps in a Superconducting Qubit. Physical Review Letters. 123(10). 107704–107704. 46 indexed citations
18.
Serniak, Kyle, Max Hays, G. de Lange, et al.. (2018). Hot Nonequilibrium Quasiparticles in Transmon Qubits. Physical Review Letters. 121(15). 157701–157701. 125 indexed citations
19.
Hays, Max, G. de Lange, Kyle Serniak, et al.. (2018). Direct Microwave Measurement of Andreev-Bound-State Dynamics in a Semiconductor-Nanowire Josephson Junction. Physical Review Letters. 121(4). 47001–47001. 115 indexed citations
20.
Vool, Uri, Angela Kou, W. Clarke Smith, et al.. (2018). Driving Forbidden Transitions in the Fluxonium Artificial Atom. Physical Review Applied. 9(5). 20 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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