منابع مشابه
From Absolute Distinguishability to Positive Distinguishability
We study methods of converting algorithms that distinguish pairs of distributions with a gap that has an absolute value that is noticeable into corresponding algorithms in which the gap is always positive (and noticeable). Our focus is on designing algorithms that, in addition to the tested string, obtain a fixed number of samples from each distribution. Needless to say, such algorithms can not...
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Ning Bao and Hirosi Ooguri Walter Burke Institute for Theoretical Physics California Institute of Technology, Pasadena, California 91125, USA Institute of Quantum Information and Matter California Institute of Technology, Pasadena, California 91125, USA Kavli Institute for the Physics and Mathematics of the Universe University of Tokyo, Kashiwa 277-8583, Japan (Received 7 July 2017; published 1...
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A difficulty in the development and testing of psychological models is that they are typically evaluated solely on their ability to fit experimental data, with little consideration given to their ability to fit other possible data patterns. By examining how well model A fits data generated by model B, and vice versa (a technique that we call landscaping), much safer inferences can be made about...
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Through a Dynamical Systems approach to robotics, we introduce a measure of distinguishability between different behaviours of a robot, in an uncertain context, thanks to interval analysis.
متن کاملFormalization of the distinguishability heuristics
“The concept of interfering alternatives is fundamental to all of quantum mechanics”[1]; the issue of the (in)distinguishability of these alternatives is equally fundamental. That which distinguishes these alternatives is traditionally called welcher weg (“which way”) information. Unfortunately, this seems to have no formal basis: neither distinguishability nor indistinguishability have commonl...
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ژورنال
عنوان ژورنال: Beiträge zur Algebra und Geometrie / Contributions to Algebra and Geometry
سال: 2012
ISSN: 0138-4821,2191-0383
DOI: 10.1007/s13366-012-0121-7