Vojtěch Havlíček

4.0k total citations · 1 hit paper
17 papers, 1.4k citations indexed

About

Vojtěch Havlíček is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vojtěch Havlíček has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Atomic and Molecular Physics, and Optics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vojtěch Havlíček's work include Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (6 papers) and Quantum-Dot Cellular Automata (3 papers). Vojtěch Havlíček is often cited by papers focused on Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (6 papers) and Quantum-Dot Cellular Automata (3 papers). Vojtěch Havlíček collaborates with scholars based in United Kingdom, Czechia and United States. Vojtěch Havlíček's co-authors include Kristan Temme, Jay Gambetta, Jerry M. Chow, Antonio Córcoles, Abhinav Kandala, Aram W. Harrow, James Whitfield, Matthias Troyer, Michal Haindl and Sergii Strelchuk and has published in prestigious journals such as Nature, Physical Review Letters and Physical review. A.

In The Last Decade

Vojtěch Havlíček

13 papers receiving 1.3k citations

Hit Papers

1 papers align trajectories

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.

Supervised learning with quantum-enhanced feature spaces

2019 1.2k citations Vojtěch Havlíček, Antonio Córcoles et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vojtěch Havlíček United Kingdom	7	1.2k	403	240	143	79	17	1.4k
Iris Cong United States	9	931 0.8×	412 1.0×	193 0.8×	141 1.0×	56 0.7×	10	1.1k
Leonard Wossnig United Kingdom	9	1.0k 0.9×	459 1.1×	245 1.0×	93 0.7×	57 0.7×	15	1.2k
Alba Cervera-Lierta Canada	8	1.1k 0.9×	567 1.4×	185 0.8×	109 0.8×	80 1.0×	11	1.3k
Josh Izaac Australia	14	1.4k 1.2×	534 1.3×	218 0.9×	200 1.4×	61 0.8×	20	1.5k
Kosuke Mitarai Japan	16	1.6k 1.3×	682 1.7×	307 1.3×	187 1.3×	90 1.1×	43	1.7k
Martin Roetteler United States	16	1.1k 1.0×	508 1.3×	392 1.6×	197 1.4×	32 0.4×	49	1.3k
Aleksey K. Fedorov Russia	20	829 0.7×	673 1.7×	122 0.5×	114 0.8×	68 0.9×	99	1.2k
Bryan O’Gorman United States	12	1.0k 0.9×	339 0.8×	315 1.3×	121 0.8×	37 0.5×	23	1.2k
Marcello Benedetti United Kingdom	11	875 0.7×	291 0.7×	179 0.7×	107 0.7×	40 0.5×	20	955
Hayato Goto Japan	18	1.0k 0.9×	647 1.6×	158 0.7×	221 1.5×	43 0.5×	69	1.4k

Countries citing papers authored by Vojtěch Havlíček

Since Specialization

Citations

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

Fields of papers citing papers by Vojtěch Havlíček

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vojtěch Havlíček

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

All Works

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17 of 17 papers shown

1.

Havlíček, Vojtěch, et al.. (2025). Quantum Algorithms for Representation-Theoretic Multiplicities. Physical Review Letters. 135(1). 10602–10602.

2.

Bravyi, Sergey, et al.. (2024). Quantum Complexity of the Kronecker Coefficients. PRX Quantum. 5(1). 6 indexed citations

3.

Havlíček, Vojtěch. (2023). Amplitude Ratios and Neural Network Quantum States. Quantum. 7. 938–938. 5 indexed citations

4.

Arunachalam, Srinivasan, Vojtěch Havlíček, Giacomo Nannicini, Kristan Temme, & Paweł Wocjan. (2022). Simpler (classical) and faster (quantum) algorithms for Gibbs partition functions. Quantum. 6. 789–789. 9 indexed citations

5.

Havlíček, Vojtěch, et al.. (2021). Simpler (Classical) and Faster (Quantum) Algorithms for Gibbs Partition Functions. 112–122. 4 indexed citations

6.

Havlíček, Vojtěch, Antonio Córcoles, Kristan Temme, et al.. (2019). Supervised learning with quantum-enhanced feature spaces. Nature. 567(7747). 209–212. 1224 indexed citations breakdown →

7.

Havlíček, Vojtěch, Sergii Strelchuk, & Kristan Temme. (2019). Classical algorithm for quantum SU(2) Schur sampling. Physical review. A. 99(6). 4 indexed citations

8.

Havlíček, Vojtěch & Sergii Strelchuk. (2018). Quantum Schur Sampling is Classically Tractable. arXiv (Cornell University). 1 indexed citations

9.

Havlíček, Vojtěch & Sergii Strelchuk. (2018). Quantum Schur Sampling Circuits can be Strongly Simulated. Physical Review Letters. 121(6). 10 indexed citations

10.

Haindl, Michal & Vojtěch Havlíček. (2018). BTF Compound Texture Model with Non- Parametric Control Field. 10125. 1151–1156.

11.

Havlíček, Vojtěch, Matthias Troyer, & James Whitfield. (2017). Operator locality in the quantum simulation of fermionic models. Physical review. A. 95(3). 56 indexed citations

12.

Whitfield, James, Vojtěch Havlíček, & Matthias Troyer. (2016). Local spin operators for fermion simulations. Physical review. A. 94(3). 44 indexed citations

13.

Haindl, Michal & Vojtěch Havlíček. (2015). Color texture restoration. ASEP. 13–18.

14.

Haindl, Michal, et al.. (2012). Potts Compound Markovian Texture Model. ASEP. 2 indexed citations

15.

Haindl, Michal, et al.. (2011). Probabilistic mixture-based image modelling.. Kybernetika. 47(3). 482–500.

16.

Haindl, Michal & Vojtěch Havlíček. (2010). A Compound MRF Texture Model. ASEP. 4. 1792–1795. 3 indexed citations

17.

Haindl, Michal & Vojtěch Havlíček. (2003). A multiscale colour texture model. 1. 255–258. 9 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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