Search results for "Information theory and computation"

showing 2 items of 2 documents

Universal freezing of quantum correlations within the geometric approach

2015

Quantum correlations in a composite system can be measured by resorting to a geometric approach, according to which the distance from the state of the system to a suitable set of classically correlated states is considered. Here we show that all distance functions, which respect natural assumptions of invariance under transposition, convexity, and contractivity under quantum channels, give rise to geometric quantifiers of quantum correlations which exhibit the peculiar freezing phenomenon, i.e., remain constant during the evolution of a paradigmatic class of states of two qubits each independently interacting with a non-dissipative decohering environment. Our results demonstrate from first …

Settore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciFOS: Physical sciencesQuantum entanglementArticleConvexityInformation theory and computation Qubits Quantum information Open quantum systems quantum correlationsStatistical physicsQAQuantumQCCondensed Matter - Statistical MechanicsMathematical PhysicsPhysicsQuantum PhysicsMultidisciplinaryStatistical Mechanics (cond-mat.stat-mech)Probability and statisticsState (functional analysis)Mathematical Physics (math-ph)Quantum technologyPhysics - Data Analysis Statistics and ProbabilityQubitConstant (mathematics)Quantum Physics (quant-ph)Data Analysis Statistics and Probability (physics.data-an)
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Event generation and statistical sampling for physics with deep generative models and a density information buffer

2021

Simulating nature and in particular processes in particle physics require expensive computations and sometimes would take much longer than scientists can afford. Here, we explore ways to a solution for this problem by investigating recent advances in generative modeling and present a study for the generation of events from a physical process with deep generative models. The simulation of physical processes requires not only the production of physical events, but to also ensure that these events occur with the correct frequencies. We investigate the feasibility of learning the event generation and the frequency of occurrence with several generative machine learning models to produce events l…

Test data generationScienceMonte Carlo methodGeneral Physics and AstronomyFOS: Physical sciences01 natural sciencesCharacterization and analytical techniquesGeneral Biochemistry Genetics and Molecular BiologyArticleHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)0103 physical sciencesInformation theory and computationHigh Energy Physics010306 general physicsMultidisciplinary010308 nuclear & particles physicsEvent (computing)QStatisticsData ScienceSampling (statistics)General ChemistryDensity estimationAutoencoderHigh Energy Physics - PhenomenologyPhysics - Data Analysis Statistics and ProbabilityExperimental High Energy PhysicsAnomaly detectionAlgorithmImportance samplingData Analysis Statistics and Probability (physics.data-an)
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