19 citations · 99 across the 20 of their papers we have counts for
17 papers · 1 filter
High quantum local differential privacy breaks entanglement
Sujeet Bhalerao, Theshani Nuradha, Felix Leditzky
Differential privacy provides a mathematical framework for guaranteeing privacy for sensitive data. In quantum information processing, the interaction of privacy constraints with q…
Conditional contraction coefficients and their applications to quantum networks
Christoph Hirche, Ian George, Theshani Nuradha +1
Contraction coefficients quantify the loss of distinguishability induced by a channel and provide a strong form of the data-processing inequality. While standard contraction coeffi…
Privacy-Utility Tradeoffs in Quantum Information Processing
Theshani Nuradha, Sujeet Bhalerao, Felix Leditzky
When sensitive information is encoded in data, it is important to ensure the privacy of information when attempting to learn useful information from the data. There is a natural tr…
When Does Quantum Differential Privacy Compose?
Daniel Alabi, Theshani Nuradha
Composition is a cornerstone of classical differential privacy, enabling strong end-to-end guarantees for complex algorithms through composition theorems (e.g., basic and advanced)…
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…
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…
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…
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…
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…
Extendible quantum measurements and limitations on classical communication
Vishal Singh, Theshani Nuradha, Mark M. Wilde
Unextendibility of quantum states and channels is inextricably linked to the no-cloning theorem of quantum mechanics, it has played an important role in understanding and quantifyi…
Contraction of Private Quantum Channels and Private Quantum Hypothesis Testing
Theshani Nuradha, Mark M. Wilde
A quantum generalized divergence by definition satisfies the data-processing inequality; as such, the relative decrease in such a divergence under the action of a quantum channel i…
Multivariate Fidelities
Theshani Nuradha, Hemant K. Mishra, Felix Leditzky +1
The main contribution of our paper is to introduce a number of multivariate quantum fidelities and show that they satisfy several desirable properties that are natural extensions o…
An invitation to the sample complexity of quantum hypothesis testing
Hao-Chung Cheng, Nilanjana Datta, Nana Liu +3
Quantum hypothesis testing (QHT) has been traditionally studied from the information-theoretic perspective, wherein one is interested in the optimal decay rate of error probabiliti…
QSlack: A slack-variable approach for variational quantum semi-definite programming
Jingxuan Chen, Hanna Westerheim, Zoë Holmes +6
Solving optimization problems is a key task for which quantum computers could possibly provide a speedup over the best known classical algorithms. Particular classes of optimizatio…
Dual-VQE: A quantum algorithm to lower bound the ground-state energy
Hanna Westerheim, Jingxuan Chen, Zoë Holmes +6
The variational quantum eigensolver (VQE) is a hybrid quantum-classical variational algorithm that produces an upper-bound estimate of the ground-state energy of a Hamiltonian. As…
Quantum Pufferfish Privacy: A Flexible Privacy Framework for Quantum Systems
Theshani Nuradha, Ziv Goldfeld, Mark M. Wilde
We propose a versatile privacy framework for quantum systems, termed quantum pufferfish privacy (QPP). Inspired by classical pufferfish privacy, our formulation generalizes and add…
Fidelity-Based Smooth Min-Relative Entropy: Properties and Applications
Theshani Nuradha, Mark M. Wilde
The fidelity-based smooth min-relative entropy is a distinguishability measure that has appeared in a variety of contexts in prior work on quantum information, including resource t…