Haoyu Qi

549 total citations
13 papers, 309 citations indexed

About

Haoyu Qi is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Haoyu Qi has authored 13 papers receiving a total of 309 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 2 papers in Electrical and Electronic Engineering. Recurrent topics in Haoyu Qi's work include Quantum Information and Cryptography (10 papers), Quantum Computing Algorithms and Architecture (10 papers) and Neural Networks and Reservoir Computing (5 papers). Haoyu Qi is often cited by papers focused on Quantum Information and Cryptography (10 papers), Quantum Computing Algorithms and Architecture (10 papers) and Neural Networks and Reservoir Computing (5 papers). Haoyu Qi collaborates with scholars based in United States, China and Germany. Haoyu Qi's co-authors include Mark M. Wilde, Nicolás Quesada, Raúl García−Patrón, Daniel J. Brod, Qingle Wang, Chao‐Hua Yu, Krishna Kumar Sabapathy, Fei Gao, Qiaoyan Wen and Christian Weedbrook and has published in prestigious journals such as Physical Review Letters, IEEE Transactions on Information Theory and Science Advances.

In The Last Decade

Haoyu Qi

12 papers receiving 287 citations

Peers

Haoyu Qi

AI

AMPO

EEE

SNP

HA

Chris Granade United States

Charles H. Baldwin United States

Karl Mayer United States

M. C. Thom United States

Rotem Arnon-Friedman Israel

I. Perminov Germany

Zachary Eldredge United States

Abhinav Deshpande United States

Ernest Y.-Z. Tan Canada

F. A. Calderon-Vargas United States

Chris Granade United States

Haoyu Qi

275 ×1.0

AI

170 ×1.0

AMPO

39 ×1.0

EEE

14 ×1.3

SNP

9 ×1.0

HA

Citations per year, relative to Haoyu Qi Haoyu Qi (= 1×) peers Chris Granade

Countries citing papers authored by Haoyu Qi

Since Specialization

Citations

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

Fields of papers citing papers by Haoyu Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoyu Qi

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

All Works

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13 of 13 papers shown

1.

Zhu, Peng, Xin Zhang, Yang Liu, et al.. (2025). Improvement of Electrical Transport Performance of BiSbTeSe2 by Elemental Doping. Materials. 18(5). 1110–1110.

2.

Qi, Haoyu, et al.. (2022). Efficient sampling from shallow Gaussian quantum-optical circuits with local interactions. Physical review. A. 105(5). 5 indexed citations

3.

Vincent, Trevor, et al.. (2022). Jet: Fast quantum circuit simulations with parallel task-based tensor-network contraction. Quantum. 6. 709–709. 28 indexed citations

4.

Deshpande, Abhinav, Trevor Vincent, Nicolás Quesada, et al.. (2022). Quantum computational advantage via high-dimensional Gaussian boson sampling. Science Advances. 8(1). eabi7894–eabi7894. 70 indexed citations

5.

Qi, Haoyu, Daniel J. Brod, Nicolás Quesada, & Raúl García−Patrón. (2020). Regimes of Classical Simulability for Noisy Gaussian Boson Sampling. Physical Review Letters. 124(10). 100502–100502. 51 indexed citations

6.

Sabapathy, Krishna Kumar, Haoyu Qi, Josh Izaac, & Christian Weedbrook. (2019). Production of photonic universal quantum gates enhanced by machine learning. Physical review. A. 100(1). 37 indexed citations

7.

Qi, Haoyu, Kunal Sharma, & Mark M. Wilde. (2018). Entanglement-assisted private communication over quantum broadcast channels. Journal of Physics A Mathematical and Theoretical. 51(37). 374001–374001. 13 indexed citations

8.

Su, Daiqin, Krishna Kumar Sabapathy, Casey R. Myers, et al.. (2018). Implementing quantum algorithms on temporal photonic cluster states. Physical review. A. 98(3). 9 indexed citations

9.

Wilde, Mark M. & Haoyu Qi. (2018). Energy-Constrained Private and Quantum Capacities of Quantum Channels. IEEE Transactions on Information Theory. 64(12). 7802–7827. 24 indexed citations

10.

Qi, Haoyu, Qingle Wang, & Mark M. Wilde. (2017). Applications of position-based coding to classical communication over quantum channels. Civil War Book Review. 4 indexed citations

11.

Qi, Haoyu & Mark M. Wilde. (2017). Capacities of quantum amplifier channels. Physical review. A. 95(1). 13 indexed citations

12.

Qi, Haoyu, Mark M. Wilde, & Saikat Guha. (2016). Thermal states minimize the output entropy of single-mode phase-insensitive Gaussian channels with an input entropy constraint.. arXiv (Cornell University). 1 indexed citations

13.

Wang, Qingle, Chao‐Hua Yu, Fei Gao, Haoyu Qi, & Qiaoyan Wen. (2016). Self-tallying quantum anonymous voting. Physical review. A. 94(2). 54 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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