Nilanjana Datta

89 papers receiving 3.1k citations

Hit Papers

Perfect State Transfer in Quantum Spin Networks20042026201120182004250500750

Peers

Nilanjana Datta
Comparison fields: 5 of 94
  • Artificial Intelligence 2.6k
  • Atomic and Molecular Physics, and Optics 2.3k
  • Statistical and Nonlinear Physics 419
  • Electrical and Electronic Engineering 260
  • Computational Theory and Mathematics 245
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Mile Gu Singapore
Dariusz Chruściński Poland
Joseph Emerson Canada
David Poulin Canada
Daniel Burgarth United Kingdom
Rolando D. Somma United States
Bei Zeng China
Fernando G. S. L. Brandão United States
Shao-Ming Fei China
Marco Tomamichel Singapore
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Citations per field
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Citations per year

Countries citing papers authored by Nilanjana Datta

Since Specialization
Citations

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

Fields of papers citing papers by Nilanjana Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nilanjana Datta

This figure shows the co-authorship network connecting the top 25 collaborators of Nilanjana Datta. A scholar is included among the top collaborators of Nilanjana Datta 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 Nilanjana Datta. Nilanjana Datta 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
#WorkIndexed citations
1 1
2 5
3 1
4 57
5 1
6 7
7 16
8 25
9 14
10 29
11
Analysis of finite sample size quantum hypothesis testing via martingale concentration inequalities.
1
12 15
13
Strong converse capacities of quantum channels for classical information
1
14
Strong converse rates and an example of violation of the strong converse property
3
15
One-shot quantum capacities of quantum channels
1
16
How many singlets are needed to create a state using LOCC
1
17
Multipartite entanglement in quantum spin chains (4 pages)
2
18 361
19 191
20
Perfect State Transfer in Quantum Spin Networksbreakdown →
862

About Nilanjana Datta

Nilanjana Datta is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 91 papers that have together received 3.2k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (57 papers), Quantum Computing Algorithms and Architecture (56 papers) and Quantum Mechanics and Applications (37 papers). The work is most often cited by research in Artificial Intelligence (2.6k citations), Atomic and Molecular Physics, and Optics (2.3k citations) and Statistical and Nonlinear Physics (419 citations). Nilanjana Datta has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Artur Ekert, Matthias Christandl, Andrew J. Landahl, Francesco Buscemi, T. C. Dorlas, Alastair Kay, Min-Hsiu Hsieh, Mark M. Wilde, Claudio Albanese and Fernando G. S. L. Brandão. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter and IEEE Transactions on Information Theory.

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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