Syed M. Assad

1.8k total citations · 1 hit paper
71 papers, 1.2k citations indexed

About

Syed M. Assad is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Syed M. Assad has authored 71 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 57 papers in Atomic and Molecular Physics, and Optics and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Syed M. Assad's work include Quantum Information and Cryptography (59 papers), Quantum Mechanics and Applications (48 papers) and Quantum Computing Algorithms and Architecture (42 papers). Syed M. Assad is often cited by papers focused on Quantum Information and Cryptography (59 papers), Quantum Mechanics and Applications (48 papers) and Quantum Computing Algorithms and Architecture (42 papers). Syed M. Assad collaborates with scholars based in Australia, Singapore and United States. Syed M. Assad's co-authors include Ping Koy Lam, Thomas Symul, Timothy C. Ralph, Jing Yan Haw, Helen M. Chrzanowski, Mile Gu, Mark Bradshaw, Vlatko Vedral, Kavan Modi and A. Q. Liu and has published in prestigious journals such as Physical Review Letters, Nature Communications and Nature Photonics.

In The Last Decade

Syed M. Assad

62 papers receiving 1.1k citations

Hit 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.

An integrated silicon photonic chip platform for continuous-variable quantum key distribution

2019 240 citations Gong Zhang, Jing Yan Haw et al. Nature Photonics profile →

Peers

Syed M. Assad

AI

AMPO

EEE

SNP

CTM

Jian-Yu Guan China

Juan Miguel Arrazola Canada

Luo-Kan Chen China

Georgios M. Nikolopoulos Greece

Nathan Walk Australia

Antı́a Lamas-Linares Singapore

E. Jeffrey United States

A. W. Sharpe United Kingdom

Zong‐Wen Yu China

Cosmo Lupo Italy

Jian-Yu Guan China

Syed M. Assad

982 ×1.0

AI

986 ×1.1

AMPO

178 ×1.0

EEE

20 ×0.4

SNP

44 ×1.0

CTM

Citations per year, relative to Syed M. Assad Syed M. Assad (= 1×) peers Jian-Yu Guan

Countries citing papers authored by Syed M. Assad

Since Specialization

Citations

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

Fields of papers citing papers by Syed M. Assad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Syed M. Assad. 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 Syed M. Assad. The network helps show where Syed M. Assad may publish in the future.

Co-authorship network of co-authors of Syed M. Assad

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

All Works

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20 of 20 papers shown

1.

Suzuki, Jun, et al.. (2025). Role of the extended Hilbert space in the attainability of the quantum Cramér–Rao bound for multiparameter estimation. Physics Letters A. 542. 130445–130445. 2 indexed citations

2.

Lam, Ping Koy, et al.. (2025). Entanglement-based quantum key distribution with non-Gaussian continuous variables. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 481(2321).

3.

Suzuki, Jun, et al.. (2025). Holevo Cramér-Rao bound: How close can we get without entangling measurements?. Quantum. 9. 1867–1867.

4.

Tserkis, Spyros, Syed M. Assad, Ping Koy Lam, & Prineha Narang. (2025). Quantifying total correlations in quantum systems through the Pearson correlation coefficient. Physics Letters A. 543. 130432–130432. 8 indexed citations

5.

Janoušek, Jiří, Syed M. Assad, Manoj K. Joshi, et al.. (2025). Counter-propagating entangled photon pairs from monolayer GaSe. Nature Communications. 16(1). 9616–9616.

6.

Zhao, Jie, et al.. (2024). Verifying the security of a continuous variable quantum communication protocol via quantum metrology. npj Quantum Information. 10(1). 4 indexed citations

7.

Assad, Syed M., et al.. (2024). Satellite-to-Ground Continuous Variable Quantum Key Distribution: The Gaussian and Discrete Modulated Protocols in Low Earth Orbit. IEEE Transactions on Communications. 72(6). 3244–3255. 5 indexed citations

8.

Tserkis, Spyros, et al.. (2024). Improving Gaussian channel simulation using nonunity-gain heralded quantum teleportation. Physical Review Applied. 22(5). 2 indexed citations

9.

Koh, Dax Enshan, et al.. (2024). An expressive ansatz for low-depth quantum approximate optimisation. Quantum Science and Technology. 9(2). 25010–25010. 18 indexed citations

10.

Zhao, Jie, et al.. (2024). Comparison of estimation limits for quantum two-parameter estimation. Physical Review Research. 6(3).

11.

Huntington, Elanor H., et al.. (2023). A new entropic quantum correlation measure for adversarial systems. Scientific Reports. 13(1). 1436–1436. 2 indexed citations

12.

Tserkis, Spyros, et al.. (2023). On the equivalence between squeezing and entanglement potential for two-mode Gaussian states. Scientific Reports. 13(1). 11722–11722. 2 indexed citations

13.

Tserkis, Spyros, et al.. (2023). Surpassing the repeaterless bound with a photon-number encoded measurement-device-independent quantum key distribution protocol. npj Quantum Information. 9(1). 9 indexed citations

14.

McKenzie, Kirk, et al.. (2022). Enhancing the precision limits of interferometric satellite geodesy missions. npj Microgravity. 8(1). 21–21. 5 indexed citations

15.

Tserkis, Spyros, Jayne Thompson, Austin P. Lund, et al.. (2020). Maximum entanglement of formation for a two-mode Gaussian state over passive operations. Physical review. A. 102(5). 4 indexed citations

16.

Bradshaw, Mark, Ping Koy Lam, & Syed M. Assad. (2019). Gaussian multipartite quantum discord from classical mutual information. Journal of Physics B Atomic Molecular and Optical Physics. 52(24). 245501–245501. 1 indexed citations

17.

Zhang, Gong, Jing Yan Haw, Hong Cai, et al.. (2019). An integrated silicon photonic chip platform for continuous-variable quantum key distribution. Nature Photonics. 13(12). 839–842. 240 indexed citations breakdown →

18.

Truong, Nhan Duy, Jing Yan Haw, Syed M. Assad, Ping Koy Lam, & Omid Kavehei. (2018). Machine Learning Cryptanalysis of a Quantum Random Number Generator. IEEE Transactions on Information Forensics and Security. 14(2). 403–414. 39 indexed citations

19.

Haw, Jing Yan, Syed M. Assad, Andrew M. Lance, et al.. (2014). Maximisation of Extractable Randomness in Quantum Random Number Generator. arXiv (Cornell University). 1 indexed citations

20.

Assad, Syed M., D. J. Alton, Thomas Symul, et al.. (2007). Continuous Variable Quantum Cryptography: Post-Selection with Thermal Noise. 1–1. 1 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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