Results 1 to 10 of about 15,770,233 (254)

Probability-phase mutual information

Physical Review A
Building on the geometric formulation of quantum mechanics, we develop a coherence theory for ensembles that exploits the probability-phase structure of the quantum state space. Standard coherence measures quantify superposition within density matrices but cannot distinguish ensembles that produce the same mixed state through different distributions of
Cameron Hahn, Nishan Ranabhat, Fabio Anza   +2 more
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Mutual information power analysis attack in the frequency domain of the crypto chip

Tongxin xuebao, 2015
Based on the mutual information power analysis attack in time domain of the crypto chip,a method for analyzing the energy of the maximum mutual information coefficient in the frequency domain was proposed.This method combined the principle of password ...
Min WANG, Zhen WU, Jin-tao RAO, Zhi-bo DU   +3 more
doaj  

Network mutual information measures for graph similarity

Communications Physics
A wide range of tasks in network analysis, such as clustering network populations or identifying anomalies in temporal graph streams, require a measure of the similarity between two graphs.
Helcio Felippe, Federico Battiston, Alec Kirkley   +2 more
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Mutual Information Multinomial Estimation

CoRR
Estimating mutual information (MI) is a fundamental yet challenging task in data science and machine learning. This work proposes a new estimator for mutual information. Our main discovery is that a preliminary estimate of the data distribution can dramatically help estimate.
Yanzhi Chen, Zijing Ou, Adrian Weller, Yingzhen Li   +3 more
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Mutual information maximizing quantum generative adversarial networks

Scientific Reports
One of the most promising applications in the era of Noisy Intermediate-Scale Quantum (NISQ) computing is quantum generative adversarial networks (QGANs), which offer significant quantum advantages over classical machine learning in various domains ...
Mingyu Lee, Myeongjin Shin, Junseo Lee, Kabgyun Jeong   +3 more
doaj   +1 more source

Mutual information as a measure of renormalizability

Journal of High Energy Physics
Renormalization is an essential technique in field-theoretic descriptions of natural phenomena, where the absence of a UV-complete description yields an abundance of divergent quantities. While the renormalization prescription has been thoroughly refined
Brenden Bowen, Albert Farah, Spasen Chaykov, Nishant Agarwal   +3 more
doaj   +1 more source

On Sibson’s α-Mutual Information

2022 IEEE International Symposium on Information Theory (ISIT), 2022
We explore a family of information measures that stems from Rényi's $α$-Divergences with $α<0$. In particular, we extend the definition of Sibson's $α$-Mutual Information to negative values of $α$ and show several properties of these objects. Moreover, we highlight how this family of information measures is related to functional inequalities that ...
Esposito, Amedeo Roberto, Vandenbroucque, Adrien, Gastpar, Michael C.   +2 more
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Estimation and mutual information

2007 46th IEEE Conference on Decision and Control, 2007
An additive Gaussian channel is considered where there are a stochastic signal and a fractional Gaussian noise. The fractional Gaussian noise is the formal derivative of a fractional Brownian motion with the Hurst parameter in the interval (1/2, 1).
Tyrone E. Duncan, Bozenna Pasik-Duncan
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The mutual information constellation

IEEE Information Theory Workshop, 2005., 2005
In this paper, we will explain the usefulness of what we call the mutual information (MI) constellation. We will show how it can be used both in analysis and in design of codes. The MI constellation will be of special interest in case of in-line bit interleaving, since it is then very useful in the design of the outer code.
Anders Nilsson 0002, Tor M. Aulin
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Differential of the Mutual Information

IEEE Signal Processing Letters, 2004
In this letter, we compute the variation of the mutual information, resulting from a small variation in its argument. Although the result can be applied in many problems, we consider only one example: the result is used for deriving a new method for blind source separation in linear mixtures.
Massoud Babaie-Zadeh, Christian Jutten, Kambiz Nayebi   +2 more
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