Results 11 to 20 of about 3,163,986 (303)
The Entropy of a Discrete Real Variable
Entropy, 2012 The discrete Shannon entropy<em> H</em> was formulated only to measure indeterminacy effected through a set of probabilities, but the indeterminacy in a real-valued discrete variable depends on both the allowed outcomes x and the ...
Scott Funkhouser
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Hybrid Continuous-discrete Variable Quantum Key Distribution
Guangtongxin yanjiu, 2023 As one of the main applications of quantum cryptography, Quantum Key Distribution (QKD) is a promising secure key transmission method. Compared with traditional communication methods, QKD protocols based on the basic principles of quantum mechanics have ...
JIN An-ran, LI He
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Feynman path integrals for discrete-variable systems: Walks on Hamiltonian graphs
Physical Review ResearchWe propose a natural, parameter-free, discrete-variable formulation of Feynman path integrals. We show that for discrete-variable quantum systems, Feynman path integrals take the form of walks on the graph whose weighted adjacency matrix is the ...
Amir Kalev, Itay Hen
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Probability Distribution Functions - Discrete variable [PDF]
, 2022 In this document the main probability function models for discrete variable are ...
Carrasco Jordan, Josep Lluís
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Mixed Variational Flows for Discrete Variables
CoRR, 2023 Variational flows allow practitioners to learn complex continuous distributions, but approximating discrete distributions remains a challenge. Current methodologies typically embed the discrete target in a continuous space - usually via continuous relaxation or dequantization - and then apply a continuous flow.
Gian Carlo Diluvi +2 more
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Geometric Constructions with Discretized Random Variables [PDF]
Reliable Computing, 2006 A multivariate generalization of thicket construction is considered. A thicket in \(\mathbb{R}^d\) is a discretized representation of a random vector distribution in the form of finite set \(T=\{(C_i,p_i)\}\), where \(C_i\) are open convex sets in \(\mathbb{R}^d\) and \(p_i\) are probabilities with \(\sum p_i=1\).
Hans-Peter Schröcker +1 more
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Identification in Models with Discrete Variables [PDF]
SSRN Electronic Journal, 2013 This paper provides a novel, simple, and computationally tractable method for determining an identified set that can account for a broad set of economic models when the economic variables are discrete. Using this method, we show using a simple example how imperfect instruments affect the size of the identified set when the assumption of strict ...
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Discretized continuous quantum-mechanical observables that are neither continuous nor discrete
Physical Review Research, 2022 Most of the fundamental characteristics of quantum mechanics, such as nonlocality and contextuality, are manifest in discrete, finite-dimensional systems. However, many quantum information tasks that exploit these properties cannot be directly adapted to
Thais L. Silva +3 more
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Plug-in Bandwidth Selection for Kernel Density Estimation with Discrete Data
Econometrics, 2015 This paper proposes plug-in bandwidth selection for kernel density estimation with discrete data via minimization of mean summed square error. Simulation results show that the plug-in bandwidths perform well, relative to cross-validated bandwidths, in ...
Chi-Yang Chu +2 more
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Perceval: A Software Platform for Discrete Variable Photonic Quantum Computing [PDF]
Quantum, 2023 We introduce $Perceval$, an open-source software platform for simulating and interfacing with discrete-variable photonic quantum computers, and describe its main features and components.
Nicolas Heurtel +15 more
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