Kosuke Mitarai

3.0k total citations · 2 hit papers
43 papers, 1.7k citations indexed

About

Kosuke Mitarai is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Kosuke Mitarai has authored 43 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 21 papers in Atomic and Molecular Physics, and Optics and 12 papers in Computational Theory and Mathematics. Recurrent topics in Kosuke Mitarai's work include Quantum Computing Algorithms and Architecture (42 papers), Quantum Information and Cryptography (36 papers) and Quantum and electron transport phenomena (11 papers). Kosuke Mitarai is often cited by papers focused on Quantum Computing Algorithms and Architecture (42 papers), Quantum Information and Cryptography (36 papers) and Quantum and electron transport phenomena (11 papers). Kosuke Mitarai collaborates with scholars based in Japan, Russia and United States. Kosuke Mitarai's co-authors include Keisuke Fujii, Masahiro Kitagawa, Makoto Negoro, Yuya O. Nakagawa, Wataru Mizukami, Takahiro Yamamoto, Yasunari Suzuki, Yu‐ya Ohnishi, Yoshiaki Kawase and Ken Nakanishi and has published in prestigious journals such as Journal of Applied Physics, New Journal of Physics and Physical review. A.

In The Last Decade

Kosuke Mitarai

42 papers receiving 1.7k citations

Hit Papers

Quantum circuit learning 2018 2026 2020 2023 2018 2021 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Quantum circuit learning
    2018 860 citations Kosuke Mitarai, Makoto Negoro et al. profile →
  2. Qulacs: a fast and versatile quantum circuit simulator for research purpose
    2021 187 citations Yasunari Suzuki, Ken Nakanishi et al. Quantum profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kosuke Mitarai Japan 16 1.6k 682 307 187 90 43 1.7k
Alejandro Perdomo‐Ortiz United States 19 1.4k 0.9× 702 1.0× 320 1.0× 167 0.9× 116 1.3× 36 1.8k
Josh Izaac Australia 14 1.4k 0.9× 534 0.8× 218 0.7× 200 1.1× 61 0.7× 20 1.5k
Stefan Woerner Switzerland 17 1.2k 0.8× 433 0.6× 288 0.9× 161 0.9× 39 0.4× 36 1.4k
Vojtěch Havlíček Czechia 7 1.2k 0.8× 403 0.6× 240 0.8× 143 0.8× 79 0.9× 17 1.4k
Ville Bergholm Finland 12 1.5k 1.0× 882 1.3× 313 1.0× 213 1.1× 207 2.3× 17 1.8k
M. Cerezo United States 23 2.6k 1.7× 1.1k 1.6× 463 1.5× 296 1.6× 155 1.7× 54 2.9k
Travis S. Humble United States 22 1.2k 0.7× 663 1.0× 252 0.8× 241 1.3× 58 0.6× 120 1.5k
Shengyu Zhang China 22 932 0.6× 490 0.7× 335 1.1× 196 1.0× 123 1.4× 80 1.4k
Sarah Sheldon United States 11 1.6k 1.1× 1.2k 1.7× 210 0.7× 222 1.2× 39 0.4× 23 1.8k
Dave Wecker United States 10 1.5k 0.9× 1.1k 1.5× 255 0.8× 109 0.6× 77 0.9× 14 1.7k

Countries citing papers authored by Kosuke Mitarai

Since Specialization
Citations

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

Fields of papers citing papers by Kosuke Mitarai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kosuke Mitarai

This figure shows the co-authorship network connecting the top 25 collaborators of Kosuke Mitarai. A scholar is included among the top collaborators of Kosuke Mitarai 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 Kosuke Mitarai. Kosuke Mitarai 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.
Okada, K., et al.. (2025). Scalable circuit depth reduction in feedback-based quantum optimization with a quadratic approximation. Physical Review Research. 7(1). 4 indexed citations
2.
Hakoshima, Hideaki, et al.. (2024). Markov-chain Monte Carlo method enhanced by a quantum alternating operator ansatz. Physical Review Research. 6(3). 6 indexed citations
3.
Mitarai, Kosuke, et al.. (2024). Experimental demonstration of a high-fidelity virtual two-qubit gate. Physical Review Research. 6(1). 8 indexed citations
4.
Mitarai, Kosuke, et al.. (2024). Accelerating Grover Adaptive Search: Qubit and Gate Count Reduction Strategies With Higher Order Formulations. IEEE Transactions on Quantum Engineering. 5. 1–12. 8 indexed citations
5.
Mitarai, Kosuke, et al.. (2024). Continuous optimization by quantum adaptive distribution search. Physical Review Research. 6(2). 1 indexed citations
6.
Mitarai, Kosuke, et al.. (2024). Simulation and performance analysis of quantum error correction with a rotated surface code under a realistic noise model. Physical Review Research. 6(1). 5 indexed citations
7.
Sakamoto, Kazuki, et al.. (2024). End-to-end complexity for simulating the Schwinger model on quantum computers. Quantum. 8. 1474–1474. 5 indexed citations
8.
Inoue, Wataru, et al.. (2024). Almost optimal measurement scheduling of molecular Hamiltonian via finite projective plane. Physical Review Research. 6(1). 1 indexed citations
9.
Nakanishi, Ken, Kosuke Mitarai, Zhiguang Yan, et al.. (2023). Subspace variational quantum simulator. Physical Review Research. 5(2). 17 indexed citations
10.
Kobayashi, Nozomu, et al.. (2023). The cross-sectional stock return predictions via quantum neural network and tensor network. Quantum Machine Intelligence. 5(2). 1 indexed citations
11.
Okada, K., et al.. (2023). Classically optimized variational quantum eigensolver with applications to topological phases. Physical Review Research. 5(4). 4 indexed citations
12.
Mitarai, Kosuke, et al.. (2022). Constructing Local Bases for a Deep Variational Quantum Eigensolver for Molecular Systems. Physical Review Applied. 18(6). 1 indexed citations
13.
14.
Mitarai, Kosuke, et al.. (2022). Quantifying fermionic nonlinearity of quantum circuits. Physical Review Research. 4(4). 7 indexed citations
15.
Mitarai, Kosuke. (2022). Quantum Features and Quantum Neural Network. 29(4). 202–210. 1 indexed citations
16.
Mitarai, Kosuke, et al.. (2021). Experimental quantum kernel trick with nuclear spins in a solid. npj Quantum Information. 7(1). 35 indexed citations
17.
Mitarai, Kosuke & Keisuke Fujii. (2021). Overhead for simulating a non-local channel with local channels by quasiprobability sampling. Quantum. 5. 388–388. 37 indexed citations
18.
Mitarai, Kosuke & Keisuke Fujii. (2020). Constructing a virtual two-qubit gate by sampling single-qubit operations. New Journal of Physics. 23(2). 23021–23021. 57 indexed citations
19.
Mitarai, Kosuke, et al.. (2020). An advanced 2ω method enabling thermal conductivity measurement for various sample thicknesses: From thin films to bulk materials. Journal of Applied Physics. 128(1). 11 indexed citations
20.
Mitarai, Kosuke & Keisuke Fujii. (2019). Constructing a virtual two-qubit gate from single-qubit operations. arXiv (Cornell University). 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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