7 papers · 1 filter
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…
Local Distinguishability of Multipartite Orthogonal Quantum States: Generalized and Simplified
Ian George, Mohammad A. Alhejji
In a seminal work [PRL85.4972], Walgate, Short, Hardy, and Vedral prove in finite dimensions that for every pair of pure multipartite orthogonal quantum states, there exists a one-…
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…
A Unified Approach to Quantum Contraction and Correlation Coefficients
Ian George, Marco Tomamichel
The maximal correlation coefficient measures the linear correlation in a bipartite distribution and contraction coefficients measure how much information is lost under a noisy chan…
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…
Experimental asymmetric relativistic zero-knowledge proofs with unconditional security
Chen-Xun Weng, Ming-Yang Li, Nai-Rui Xu +6
Zero-knowledge proofs (ZKPs) are widely applied in digital economies, such as cryptocurrencies and smart contracts, for establishing trust and privacy between untrusted parties. Cl…