6 citations · 8 across the 4 of their papers we have counts for
5 papers
Kirkwood-Dirac Nonpositivity is a Necessary Resource for Quantum Computing
Jonathan J. Thio, Songqinghao Yang, Stephan De Bièvre +2
Classical computers can simulate models of quantum computation with restricted input states. The identification of such states can sharpen the boundary between quantum and classica…
Contextuality Can be Verified with Noncontextual Experiments
Jonathan J. Thio, Wilfred Salmon, Crispin H. W. Barnes +2
We uncover new features of generalized contextuality by connecting it to the Kirkwood-Dirac (KD) quasiprobability distribution. Quantum states can be represented by KD distribution…
Convex roofs witnessing Kirkwood-Dirac nonpositivity
Christopher Langrenez, Stephan De Bièvre, David R. M. Arvidsson-Shukur
Given two observables and , one can associate to every quantum state a Kirkwood-Dirac (KD) quasiprobability distribution. KD distributions are like joint classical probabili…
Almost no experiments have classical Kirkwood-Dirac representations
Christopher Langrenez, Wilfred Salmon, Stephan De Bièvre +3
A central problem in quantum information is determining quantum-classical boundaries. In the quasiprobability framework, a state is called classical if it is represented by a quasi…
James-Stein Estimation in Quantum Gaussian Sensing
Wilfred Salmon, Sergii Strelchuk, David Arvidsson-Shukur
The James-Stein estimator is a biased estimator -- for a finite number of samples its expected value is not the true mean. The maximum-likelihood estimator (MLE), is unbiased and a…