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20192026
most citedQuantum Pufferfish Privacy: A Flexible Privacy Framework for Quantum Systems

19 citations · 99 across the 20 of their papers we have counts for

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Showing 2025 · quant-phShow all

5 papers · 2 filters

quant-ph2025

Non-Linear Strong Data-Processing for Quantum Hockey-Stick Divergences

Theshani Nuradha, Ian George, Christoph Hirche

Data-processing is a desired property of classical and quantum divergences and information measures. In information theory, the contraction coefficient measures how much the distin…

quant-ph2025

Query complexities of quantum channel discrimination and estimation: A unified approach

Zixin Huang, Johannes Jakob Meyer, Theshani Nuradha +1

The goal of quantum channel discrimination and estimation is to determine the identity of an unknown channel from a discrete or continuous set, respectively. The query complexity o…

quant-ph2025★ 1 cited

Query Complexity of Classical and Quantum Channel Discrimination

Theshani Nuradha, Mark M. Wilde

Quantum channel discrimination has been studied from an information-theoretic perspective, wherein one is interested in the optimal decay rate of error probabilities as a function…

quant-ph2025

Quantum Doeblin Coefficients: Interpretations and Applications

Ian George, Christoph Hirche, Theshani Nuradha +1

In classical information theory, the Doeblin coefficient of a classical channel provides an efficiently computable upper bound on the total-variation contraction coefficient of the…

quant-ph2025★ 3 cited

Measured Hockey-Stick Divergence and its Applications to Quantum Pufferfish Privacy

Theshani Nuradha, Vishal Singh, Mark M. Wilde

The hockey-stick divergence is a fundamental quantity characterizing several statistical privacy frameworks that ensure privacy for classical and quantum data. In such quantum priv…