World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
40
Citations
7364
World Ranking
2037
National Ranking
134

Overview

Nilanjana Datta is affiliated with the University of Cambridge in the United Kingdom and focuses on research primarily in the fields of Computer Science and Physics and Astronomy. Their scholarly work intersects multiple subfields including Artificial Intelligence, Atomic and Molecular Physics and Optics, Statistics and Probability, Electrical and Electronic Engineering, and Computational Theory and Mathematics.

Their research has substantially contributed to topics such as Quantum Information and Cryptography, Quantum Computing Algorithms and Architecture, Quantum Mechanics and Applications, Wireless Communication Security Techniques, Markov Chains and Monte Carlo Methods, Computability, Logic, AI Algorithms, and Statistical Mechanics and Entropy.

Nilanjana Datta has authored numerous publications across a variety of venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Theory
  • Annales Henri Poincaré
  • Communications in Mathematical Physics
  • npj Quantum Information

Some of Nilanjana Datta's recent scholarly papers are:

  • "Pathophysiology, Classification and Comorbidities after Traumatic Spinal Cord Injury," 2022, Journal of Personalized Medicine
  • "Relating Relative Entropy, Optimal Transport and Fisher Information: A Quantum HWI Inequality," 2020, Annales Henri Poincaré
  • "Energy-Constrained Discrimination of Unitaries, Quantum Speed Limits, and a Gaussian Solovay-Kitaev Theorem," 2021, Physical Review Letters
  • "Non-Asymptotic Classical Data Compression With Quantum Side Information," 2020, IEEE Transactions on Information Theory
  • "Classical Shadow Tomography for Continuous Variables Quantum Systems," 2024, IEEE Transactions on Information Theory

The scientist regularly collaborates with a set of frequent co-authors, including Robert Salzmann, Michael G. Jabbour, Bjarne Bergh, Simon Becker, and Satvik Singh. These collaborations indicate a consistent engagement with researchers active in related themes of quantum information and computational theory.

Best Publications

  • Perfect State Transfer in Quantum Spin Networks

    Matthias Christandl;Nilanjana Datta;Artur Ekert;Artur Ekert;Andrew J. Landahl;Andrew J. Landahl

  • Min- and Max-Relative Entropies and a New Entanglement Monotone

    N. Datta

  • Perfect Transfer of Arbitrary States in Quantum Spin Networks

    Matthias Christandl;Nilanjana Datta;Tony C. Dorlas;Artur Ekert;Artur Ekert

  • Mirror Inversion of Quantum States in Linear Registers

    Claudio Albanese;Claudio Albanese;Matthias Christandl;Nilanjana Datta;Artur Ekert;Artur Ekert

  • The Quantum Capacity of Channels With Arbitrarily Correlated Noise

    F. Buscemi;N. Datta

  • α-z-Rényi relative entropies

    Koenraad M. R. Audenaert;Nilanjana Datta

  • Approaches for approximate additivity of the Holevo information of quantum channels

    Felix Leditzky;Eneet Kaur;Nilanjana Datta;Mark M. Wilde

  • One-Shot Rates for Entanglement Manipulation Under Non-entangling Maps

    F G S L Brandao;N Datta

  • alpha-z-relative Renyi entropies

    Koenraad M.R. Audenaert;Nilanjana Datta

  • Low-temperature phase diagrams of quantum lattice systems. I. Stability for quantum perturbations of classical systems with finitely-many ground states

    Nilanjana Datta;Nilanjana Datta;Roberto Fernández;Jürg Fröhlich

  • Max- Relative Entropy of Entanglement, alias Log Robustness

    Nilanjana Datta

  • Smooth Renyi Entropies and the Quantum Information Spectrum

    Nilanjana Datta;Renato Renner

  • Smooth Entropies and the Quantum Information Spectrum

    N. Datta;R. Renner

  • Equivalence between divisibility and monotonic decrease of information in classical and quantum stochastic processes

    Francesco Buscemi;Nilanjana Datta

  • Useful States and Entanglement Distillation

    Felix Leditzky;Nilanjana Datta;Graeme Smith

  • The coding theorem for a class of quantum channels with long-term memory

    Nilanjana Datta;Tony C Dorlas

  • Multipartite entanglement in quantum spin chains

    Dagmar Bruß;Nilanjana Datta;Artur Ekert;Artur Ekert;Leong Chuan Kwek

  • On the second-order asymptotics for entanglement-assisted communication

    Nilanjana Datta;Marco Tomamichel;Mark M. Wilde

  • Generalized relative entropies and the capacity of classical-quantum channels

    Milán Mosonyi;Nilanjana Datta

  • Quantum Rate Distortion, Reverse Shannon Theorems, and Source-Channel Separation

    N. Datta;Min-Hsiu Hsieh;M. M. Wilde

  • The apex of the family tree of protocols: optimal rates and resource inequalities

    Nilanjana Datta;Min-Hsiu Hsieh

  • Relating Relative Entropy, Optimal Transport and Fisher Information: A Quantum HWI Inequality

    Nilanjana Datta;Cambyse Rouzé

Frequent Co-Authors

Mark M. Wilde
Mark M. Wilde Cornell University
Artur Ekert
Artur Ekert University of Oxford
Andreas Winter
Andreas Winter University of Cologne
Koenraad M. R. Audenaert
Koenraad M. R. Audenaert Royal Holloway University of London
Matthias Christandl
Matthias Christandl University of Copenhagen
Alexander Semenovich Holevo
Alexander Semenovich Holevo Steklov Mathematical Institute
Renato Renner
Renato Renner ETH Zurich
Graeme Smith
Graeme Smith University of Colorado Boulder
Marco Tomamichel
Marco Tomamichel National University of Singapore
Martin B. Plenio
Martin B. Plenio University of Ulm

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a degree in Mathematics opens the door to numerous career paths that often intersect with fields like marketing, business, and data science. For those interested in blending analytical skills with business acumen, a master's degree in marketing can be a valuable choice, offering knowledge in market analysis and consumer behavior alongside quantitative methods.

Many professionals seek flexible and accelerated education options, making programs such as one year MBA programs particularly attractive. These programs help students quickly gain leadership and strategic skills without a long-term time commitment, complementing a strong math background.

For students who wish to continue their education or shift focus, understanding whether can you transfer MBA programs credits is important. This flexibility can make pursuing advanced degrees more accessible and tailored to individual career goals.

With the exploding demand for data-driven decision making, getting a data analytics masters programs education builds essential skills in interpreting complex datasets and applying statistical models, a natural progression for math graduates looking to thrive in technology and business sectors.

Best Scientists Citing Nilanjana Datta

Trending Scientists