What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Mathematical analysis
- Algebra
Nilanjana Datta spends much of his time researching Statistical physics, Quantum channel, Classical capacity, Quantum relative entropy and Quantum entanglement.
His work deals with themes such as Upper and lower bounds, Information theory, Quantum and Von Neumann entropy, which intersect with Statistical physics.
His studies deal with areas such as Discrete mathematics, Quantum capacity and Quantum error correction, Qubit as well as Quantum channel.
Nilanjana Datta has included themes like Quantum state and Quantum teleportation in his Qubit study.
His work carried out in the field of Quantum relative entropy brings together such families of science as Generalized relative entropy, Entropy of entanglement, Rényi entropy and Strong Subadditivity of Quantum Entropy.
His study looks at the intersection of Quantum entanglement and topics like Combinatorics with Entanglement distillation, Logarithm and Entanglement witness.
His most cited work include:
- Perfect State Transfer in Quantum Spin Networks (773 citations)
- Min- and Max-Relative Entropies and a New Entanglement Monotone (373 citations)
- Perfect Transfer of Arbitrary States in Quantum Spin Networks (347 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Quantum, Discrete mathematics, Quantum entanglement, Quantum information and Quantum channel.
The study incorporates disciplines such as Kullback–Leibler divergence, Pure mathematics, Information theory, Statistical physics and Entropy in addition to Quantum.
He combines subjects such as Quantum discord, Quantum relative entropy, Quantum computer and Qubit with his study of Discrete mathematics.
His studies in Quantum entanglement integrate themes in fields like State and Upper and lower bounds.
His study in Quantum information is interdisciplinary in nature, drawing from both Theoretical computer science, Interpretation and Von Neumann entropy.
His Quantum channel research integrates issues from Quantum capacity, Quantum error correction and Topology.
He most often published in these fields:
- Quantum (41.94%)
- Discrete mathematics (28.49%)
- Quantum entanglement (23.66%)
What were the highlights of his more recent work (between 2018-2021)?
- Quantum (41.94%)
- Information theory (12.37%)
- Discrete mathematics (28.49%)
In recent papers he was focusing on the following fields of study:
Nilanjana Datta mainly focuses on Quantum, Information theory, Discrete mathematics, Pure mathematics and Entropy.
Quantum and Converse are two areas of study in which Nilanjana Datta engages in interdisciplinary work.
The Discrete mathematics study combines topics in areas such as Probability theory, Central limit theorem, Coding and Uniform boundedness.
His Pure mathematics research also works with subjects such as
- Quantum state that connect with fields like Quantum information, Coupling and Probability distribution,
- Hamiltonian which connect with Gaussian, Photon, Finite set and Quantum entanglement.
His research in Divergence intersects with topics in Kullback–Leibler divergence and Interpretation.
His Limit research incorporates themes from Quantum channel, Quantum information science and Mathematical physics.
Between 2018 and 2021, his most popular works were:
- Concentration of quantum states from quantum functional and transportation cost inequalities (22 citations)
- Convexity and Operational Interpretation of the Quantum Information Bottleneck Function (15 citations)
- Quantum Reverse Hypercontractivity: Its Tensorization and Application to Strong Converses (15 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Mathematical analysis
- Algebra
The scientist’s investigation covers issues in Quantum, Information theory, Pure mathematics, Semigroup and Converse.
Quantum is closely attributed to Hamiltonian in his study.
His research investigates the connection between Information theory and topics such as Quantum information that intersect with issues in Theoretical computer science.
His Pure mathematics study incorporates themes from Majorization and Open problem.
His Statistical hypothesis testing research incorporates elements of Quantum system, Tensor, Channel code, Quantum network and Quantum relative entropy.
His Discrete mathematics study combines topics from a wide range of disciplines, such as Mathematical proof and Inequality.
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