Academic literature on the topic 'Entropic Time'

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Journal articles on the topic "Entropic Time"

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Pacheco Hernández, Patricio, Eduardo Mera Garrido, and Gustavo Navarro Ahumada. "Fractal Dimension Time Series and Interaction Between Entropic Surfaces of Urban Meteorology and Pollutants in a Geographic Basin: Dynamic Effects, Thermal Flows and Anomalous Diffusion." Fractal and Fractional 9, no. 2 (2025): 114. https://doi.org/10.3390/fractalfract9020114.

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In three periods of 3.25 years each, and at the same six different heights of a basin geomorphology, measurements were made, in the form of a time series, of urban meteorological variables (MV) (temperature, relative humidity, wind speed magnitude) and pollutants (P) (PM10, PM2.5, and CO). It is verified that each time series has a fractal dimension, and the value of its maximum Kolmogorov entropy is determined. These values generate two entropic surfaces according to measurement periods: one for urban meteorology and another for pollutants. The calculation of the gradient to each entropic sur
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Curado, Evaldo M. F., and Fernando D. Nobre. "Non-Additive Entropic Forms and Evolution Equations for Continuous and Discrete Probabilities." Entropy 25, no. 8 (2023): 1132. http://dx.doi.org/10.3390/e25081132.

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Increasing interest has been shown in the subject of non-additive entropic forms during recent years, which has essentially been due to their potential applications in the area of complex systems. Based on the fact that a given entropic form should depend only on a set of probabilities, its time evolution is directly related to the evolution of these probabilities. In the present work, we discuss some basic aspects related to non-additive entropies considering their time evolution in the cases of continuous and discrete probabilities, for which nonlinear forms of Fokker–Planck and master equat
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Kolesnichenko, Aleksandr Vladimirovich, and Mikhail Yakovlevich Marov. "Scenario of accelerated universe expansion under exposure to entropic forces related to with the entropies of Barrow and Tsallis−Cirto." Mathematica Montisnigri 50 (2021): 80–103. http://dx.doi.org/10.20948/mathmontis-2021-50-8.

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In the work within the framework of "entropic cosmology", the scenario of the cosmological accelerated expansion of a flat, homogeneous and isotropic Universe under the influence of entropic forces is considered without the concept of dark energy a hypothetical medium with negative pressure. Assuming that the horizon of the Universe has its own temperature and entropy, which arises during the holographic storage of information on the screen of the horizon surface, the entropy models of the Universe associated with the BekensteinHawking entropy and the non-extensive Barrow and Tsallis–Cirto e
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Lenzi, Ervin K., Michely P. Rosseto, Derik W. Gryczak, et al. "Generalized Kinetic Equations with Fractional Time-Derivative and Nonlinear Diffusion: H-Theorem and Entropy." Entropy 26, no. 8 (2024): 673. http://dx.doi.org/10.3390/e26080673.

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We investigate the H-theorem for a class of generalized kinetic equations with fractional time-derivative, hyperbolic term, and nonlinear diffusion. When the H-theorem is satisfied, we demonstrate that different entropic forms may emerge due to the equation’s nonlinearity. We obtain the entropy production related to these entropies and show that its form remains invariant. Furthermore, we investigate some behaviors for these equations from both numerical and analytical perspectives, showing a large class of behaviors connected with anomalous diffusion and their effects on entropy.
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Pessoa, Pedro, Felipe Xavier Costa, and Ariel Caticha. "Entropic Dynamics on Gibbs Statistical Manifolds." Entropy 23, no. 5 (2021): 494. http://dx.doi.org/10.3390/e23050494.

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Entropic dynamics is a framework in which the laws of dynamics are derived as an application of entropic methods of inference. Its successes include the derivation of quantum mechanics and quantum field theory from probabilistic principles. Here, we develop the entropic dynamics of a system, the state of which is described by a probability distribution. Thus, the dynamics unfolds on a statistical manifold that is automatically endowed by a metric structure provided by information geometry. The curvature of the manifold has a significant influence. We focus our dynamics on the statistical manif
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Huang, Zhiming, Xiaobin Wang, Yiyong Ye, Xiaokui Sheng, Zhenbang Rong, and Dequan Ling. "Quantum-memory-assisted entropic uncertainty in fluctuating electromagnetic field with a boundary." Modern Physics Letters A 34, no. 17 (2019): 1950099. http://dx.doi.org/10.1142/s0217732319500998.

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In this work, we investigate the dynamics of quantum-memory-assisted entropic uncertainty relation for a two-level atom coupled with fluctuating electromagnetic field in the presence of a perfectly reflecting plane boundary. The solution of the master equation that governs the system evolution is derived. We find that entropic uncertainty and mixedness increase to a stable value with evolution time, but quantum correlation reduces to zero with evolution time. That is, the mixedness is positively associated with entropic uncertainty, however, increasing quantum correlation can cause the decreas
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Kadlub, Eugene A. "Time: Language and Substance." Perceptual and Motor Skills 83, no. 3 (1996): 903–13. http://dx.doi.org/10.2466/pms.1996.83.3.903.

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Concluding that every system (regardless of size and complexity) is the locus of its own space-time led to the development of a time construct that gives temporal measure to system entropic contribution.
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Hall, Michael J. W. "Better Heisenberg Limits, Coherence Bounds, and Energy-Time Tradeoffs via Quantum Rényi Information." Entropy 24, no. 11 (2022): 1679. http://dx.doi.org/10.3390/e24111679.

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An uncertainty relation for the Rényi entropies of conjugate quantum observables is used to obtain a strong Heisenberg limit of the form RMSE≥f(α)/(⟨N⟩+12), bounding the root mean square error of any estimate of a random optical phase shift in terms of average photon number, where f(α) is maximised for non-Shannon entropies. Related simple yet strong uncertainty relations linking phase uncertainty to the photon number distribution, such as ΔΦ≥maxnpn, are also obtained. These results are significantly strengthened via upper and lower bounds on the Rényi mutual information of quantum communicati
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Sunol, Alp M., and Roseanna N. Zia. "Confined Brownian suspensions: Equilibrium diffusion, thermodynamics, and rheology." Journal of Rheology 67, no. 2 (2023): 433–60. http://dx.doi.org/10.1122/8.0000520.

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We examine the impact of confinement on the structure, dynamics, and rheology of spherically confined macromolecular suspensions, with a focus on the role played by entropic forces, by comparing the limits of strong hydrodynamics and no hydrodynamics. We present novel measurements of the osmotic pressure, intrinsic viscosity, and long-time self-diffusivity in spherical confinement and find confinement induces strong structural correlations and restrictions on configurational entropy that drive up osmotic pressure and viscosity and drive down self-diffusion. Even in the absence of hydrodynamics
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Inoue, Kei. "An Improved Calculation Formula of the Extended Entropic Chaos Degree and Its Application to Two-Dimensional Chaotic Maps." Entropy 23, no. 11 (2021): 1511. http://dx.doi.org/10.3390/e23111511.

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The Lyapunov exponent is primarily used to quantify the chaos of a dynamical system. However, it is difficult to compute the Lyapunov exponent of dynamical systems from a time series. The entropic chaos degree is a criterion for quantifying chaos in dynamical systems through information dynamics, which is directly computable for any time series. However, it requires higher values than the Lyapunov exponent for any chaotic map. Therefore, the improved entropic chaos degree for a one-dimensional chaotic map under typical chaotic conditions was introduced to reduce the difference between the Lyap
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Dissertations / Theses on the topic "Entropic Time"

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Ye, Cheng. "Entropic characterization and time evolution of complex networks." Thesis, University of York, 2016. http://etheses.whiterose.ac.uk/15550/.

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In this thesis, we address problems encountered in complex network analysis using graph theoretic methods. The thesis specifically centers on the challenge of how to characterize the structural properties and time evolution of graphs. We commence by providing a brief roadmap for our research in Chapter 1, followed by a review of the relevant research literature in Chapter 2. The remainder of the thesis is structured as follows. In Chapter 3, we focus on the graph entropic characterizations and explore whether the von Neumann entropy recently defined only on undirected graphs, can be extended t
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Scafetta, Nicola. "An entropic approach to the analysis of time series." Thesis, University of North Texas, 2001. https://digital.library.unt.edu/ark:/67531/metadc3033/.

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Statistical analysis of time series. With compelling arguments we show that the Diffusion Entropy Analysis (DEA) is the only method of the literature of the Science of Complexity that correctly determines the scaling hidden within a time series reflecting a Complex Process. The time series is thought of as a source of fluctuations, and the DEA is based on the Shannon entropy of the diffusion process generated by these fluctuations. All traditional methods of scaling analysis, instead, are based on the variance of this diffusion process. The variance methods detect the real scaling only if the
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Tomasevic, Marija. "Quantum Aspects of Space and Time." Doctoral thesis, Universitat de Barcelona, 2021. http://hdl.handle.net/10803/672688.

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In this thesis, we explore different ways in which spacetime exhibits peculiar properties when subjected to the rules of quantum mechanics. These rules are naturally implemented at the level of semiclassical physics, where the dynamical nature of the spacetime metric is neglected. In particular, we explore how quantum effects modify some of the fundamental statements of General Relativity, ranging from different possible solutions, such as traversable wormholes and time machines, to some of the more foundational conjectures, with an emphasis to the one of cosmic censorship. Chapter One takes
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Omer, Mohamoud. "Estimation of regularity and synchronism in parallel biomedical time series." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2017. https://www.cris.uns.ac.rs/record.jsf?recordId=101879&source=NDLTD&language=en.

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Objectives: Self-monitoring in health applications has already been recognized as a part of the mobile crowdsensing concept, where subjects, equipped with adequate sensors, share and extract information for personal or common benefit. Limited data transmission resources force a local analysis at wearable devices, but it is incompatible with analytical tools that require stationary and artifact-free data. The key objective of this thesis is to explain a computationally efficient binarized cross-approximate entropy, (X)BinEn, for blind cardiovascular signal processing in environments where energ
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Rodrigues, Vitor Hugo. "Aspectos da transmissão e processamento de informação em canto de anuros." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/41/41135/tde-22052009-141706/.

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Os sistemas biológicos interagem com o ambiente em que vivem de muitas formas, e uma das principais formas na qual essa interação se dá é pela transmissão de mensagens, de diversas maneiras. A transmissão de mensagens por vias sonoras, em animais, é uma questão muito abordada em muitos estudos por ser uma importante via de comunicação utilizada por diversos tipos de sistemas biológicos. Este trabalho tem como objetivo verificar, pelo viés da Teoria da Informação de Shannon, se através da organização das séries temporais referentes à comunicação é possível observar a diminuição de geração de en
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Schwill, Stephan. "Entropy analysis of financial time series." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/entropy-analysis-of-financial-time-series(7e0c84fe-5d0b-41bc-96c6-5e41ffa5b8fe).html.

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This thesis applies entropy as a model independent measure to address research questions concerning the dynamics of various financial time series. The thesis consists of three main studies as presented in chapters 3, 4 and 5. Chapters 3 and 4 apply an entropy measure to conduct a bivariate analysis of drawdowns and drawups in foreign exchange rates. Chapter 5 investigates the dynamics of investment strategies of hedge funds using entropy of realised volatility in a conditioning model. In all three studies, methods from information theory are applied in novel ways to financial time series. As I
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Culpepper, Sarah Elizabeth. "Musical time and information theory entropy." Thesis, University of Iowa, 2010. https://ir.uiowa.edu/etd/659.

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Many theorists have connected information content in music with the listener's perception of the passage of time. This thesis uses the construct of information theory entropy, developed in the 1940s by Bell Labs engineer Claude Shannon, to describe the passage of time in Webern's music. Entropy scores are computed based on pitches, intervals, CSEGs, and pc-sets; these scores are then used to examine the first of the Five Canons, op. 16, and the fourth of the Five Movements for String Quartet, op. 5.
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Penner, Irina. "Dynamic convex risk measures." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2008. http://dx.doi.org/10.18452/15745.

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In dieser Arbeit werden verschiedene Eigenschaften von dynamischen konvexen Risikomaßen für beschränkte Zufallsvariablen untersucht. Dabei gehen wir vor allem der Frage nach, wie die Risikobewertungen in verschiedenen Zeitpunkten von einander abhängen, und wie sich solche Zeitkonsistenzeigenschaften in der Dynamik der Penalty-Funktionen und Risikoprozesse widerspiegeln. Im Kapitel 2 widmen wir uns zunächst der starken Zeitkonsistenz und charakterisieren diese mithilfe von Akzeptanzmengen, Penalty-Funktionen und einer gemeinsamen Supermartingaleigenschaft des Risikoprozesses und seiner Penal
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Paillou, Nathan. "Feasibility of road detection withinforest environment in SAR images." Electronic Thesis or Diss., université Paris-Saclay, 2025. http://www.theses.fr/2025UPAST019.

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Cette thèse porte sur la détection de routes en imagerie SAR dans le but long terme d'évaluer la traficabilité de celles-ci, notamment pour le déploiement de véhicules militaires.Les routes sont des éléments dont la taille vue par le SAR peut-être extrêmement réduite, selon l'orientation de celles-ci. La rugosité influe sur l'intensité du signal et est dépendante de la fréquence du capteur utilisé. Les matériaux qui constituent les routes ne sont pas les mêmes selon les régions que l'on observe : cela peut aller du chemin de terre, à l'autoroute à plusieurs voies goudronnée. Les abords de la r
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Magnusson, John. "Finding time-based listening habits in users music listening history to lower entropy in data." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300043.

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In a world where information, entertainment and e-commerce are growing rapidly in terms of volume and options, it can be challenging for individuals to find what they want. Search engines and recommendation systems have emerged as solutions, guiding the users. A typical example of this is Spotify, a music streaming company that utilises users listening data and other derived metrics to provide personalised music recommendation. Spotify has a hypothesis that external factors affect users listening preferences and that some of these external factors routinely affect the users, such as workout ro
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Books on the topic "Entropic Time"

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Lestienne, Rémy. Les fils du temps: Causalité, entropie, devenir. Presses du CNRS, 1990.

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Lestienne, Rémy. Les fils du temps: Causalité, entropie, devenir. CNRS Editions, 2003.

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Stollman, Aryeh Lev. The dialogues of time and entropy. Riverhead Books, 2002.

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Peters, Marc A., and Pablo A. Iglesias. Minimum Entropy Control for Time-Varying Systems. Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-1982-8.

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1964-, Iglesias Pablo A., ed. Minimum entropy control for time-varying systems. Birkhäuser, 1997.

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Peters, Marc A. Minimum Entropy Control for Time-Varying Systems. Birkhäuser Boston, 1997.

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McIntyre, Vonda N. The Entropy Effect. Pocket Books, 2006.

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McIntyre, Vonda N. The Entropy Effect. Pocket Books, 2006.

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McIntyre, Vonda N. The Entropy Effect. Simon & Schuster, 1989.

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Coveney, Peter. The arrow of time: A voyage through science to solve time's greatest mystery. Fawcett Columbine, 1991.

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Book chapters on the topic "Entropic Time"

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Dias, José G. "Latent Class Models of Time Series Data: An Entropic-Based Uncertainty Measure." In Algorithms from and for Nature and Life. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00035-0_20.

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Villani, Cédric. "(Ir)réversibilité et entropie." In Time. Springer Basel, 2012. http://dx.doi.org/10.1007/978-3-0348-0359-5_3.

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Villani, Cédric. "(Ir)reversibility and Entropy." In Time. Springer Basel, 2012. http://dx.doi.org/10.1007/978-3-0348-0359-5_2.

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Peters, Marc A., and Pablo A. Iglesias. "Discrete-Time Entropy." In Systems & Control: Foundations & Applications. Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-1982-8_4.

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Peters, Marc A., and Pablo A. Iglesias. "Continuous-Time Entropy." In Systems & Control: Foundations & Applications. Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-1982-8_7.

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Varotsos, Panayiotis A., Nicholas V. Sarlis, and Efthimios S. Skordas. "Entropy in Natural Time." In Natural Time Analysis: The New View of Time. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16449-1_3.

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Atmanspacher, Harald. "Dynamical Entropy in Dynamical Systems." In Time, Temporality, Now. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60707-3_22.

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Yu, Francis T. S. "Time–Space Quantum Entanglement." In Entropy and Information Optics. CRC Press, 2017. http://dx.doi.org/10.1201/b22443-18.

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Faber, M., H. Niemes, and G. Stephan. "Replacement of Techniques over Time." In Entropy, Environment and Resources. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-57832-8_7.

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Faber, Malte, Gunter Stephan, and Horst Niemes. "Replacement of Techniques over Time." In Entropy, Environment and Resources. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-97047-4_7.

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Conference papers on the topic "Entropic Time"

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Bruynsteen, Cedric, Axl Bomhals, Sarah Bastiaens, Ali Al Hadi Amhaz, Siebe Arnout, and Xin Yin. "High-Speed On-Chip Real-Time QRNG." In Optical Fiber Communication Conference. Optica Publishing Group, 2025. https://doi.org/10.1364/ofc.2025.th3i.6.

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Quantum random number generators harness the inherent unpredictability of quantum entropy sources to produce truly random numbers. This talk explores how integration enables high-speed, real-time generation of these numbers for use in secure communication.
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Lammers, Jonas, Federico Pegoraro, Philip Held, Nidhin Prasannan, Benjamin Brecht, and Christine Silberhorn. "Two Photon Tripartite Entanglement Transfer via Time-Multiplexed Quantum Walks." In Frontiers in Optics. Optica Publishing Group, 2024. https://doi.org/10.1364/fio.2024.fm5c.3.

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We experimentally study the transfer of multiparticle qubit entanglement towards qubit-qudit entanglement via modal entanglement in a time-multiplexed discrete-time quantum walk. We verified this transfer via the von Neumann entropy and performing steering-like experiments.
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Gao, Zhengqing, Xu-Yao Zhang, and Cheng-Lin Liu. "Unified Entropy Optimization for Open-Set Test-Time Adaptation." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.02263.

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Caticha, Ariel, Ali Mohammad-Djafari, Jean-François Bercher, and Pierre Bessiére. "Entropic Time." In BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: Proceedings of the 30th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. AIP, 2011. http://dx.doi.org/10.1063/1.3573617.

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Wang, Gui, Matias Negrete-Pincetic, Anupama Kowli, Ehsan Shafieepoorfard, Sean Meyn, and Uday Shanbhag. "Real-time prices in an entropic grid." In 2012 IEEE PES Innovative Smart Grid Technologies (ISGT). IEEE, 2012. http://dx.doi.org/10.1109/isgt.2012.6175822.

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Kim, Jeonghyuk, Tatsuya Mori, Seiji Inaba, et al. "Terahertz Time-Domain Spectroscopic Study of Oxide Glass with Entropic Elasticity." In 2020 45th International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz). IEEE, 2020. http://dx.doi.org/10.1109/irmmw-thz46771.2020.9370785.

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Bai, Lu, Lixin Cui, Yue Wang, Yuhang Jiao, and Edwin R. Hancock. "A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/614.

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Network representations are powerful tools for the analysis of time-varying financial complex systems consisting of multiple co-evolving financial time series, e.g., stock prices, etc. In this work, we develop a new kernel-based similarity measure between dynamic time-varying financial networks. Our ideas is to transform each original financial network into quantum-based entropy time series and compute the similarity measure based on the classical dynamic time warping framework associated with the entropy time series. The proposed method bridges the gap between graph kernels and the classical
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Rolland, Erwan O., Francesca De Domenico, and Simone Hochgreb. "Direct and Indirect Noise Generated by Injected Entropic and Compositional Inhomogeneities." In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-64428.

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Flow disturbances are generated inside a duct via pulsed injection of helium into a flow of air. This leads to the generation of an acoustic pulse (direct noise), as well as the production of entropic and compositional inhomogeneities which are convected with the mean flow. As these inhomogeneities are convected through a choked nozzle, they generate indirect noise. The resulting acoustic pressure fluctuations are measured experimentally using pressure transducers upstream of the nozzle. Insight obtained from theoretical models and a time-delay analysis can be used to isolate and extract the c
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Juarez Garcia, Ezequiel, Chad Stephens, and Nicholas J. Napoli. "Detecting High-Risk Anomalies in Aircraft Dynamics Through Entropic Analysis of Time Series Data." In AIAA AVIATION 2022 Forum. American Institute of Aeronautics and Astronautics, 2022. http://dx.doi.org/10.2514/6.2022-3257.

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Cheng Li, Guang-Hong Ding, Guo-Qiang Wu, and Chi-Sang Poon. "Fractal, entropic and chaotic approaches to complex physiological time series analysis: A critical appraisal." In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009. http://dx.doi.org/10.1109/iembs.2009.5332501.

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Reports on the topic "Entropic Time"

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Zilberman, Mark. Good and Evil from the Point of View of Physics. Intellectual Archive, 2022. http://dx.doi.org/10.32370/iaj.2763.

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The article analyzes the concepts of "good" and "evil" from the point of view of physics. Although the physical concept of “entropy” as a measure of disorder was the first candidate who could serve as the physical basis of these ethical concepts, in fact it is not suitable for this purpose. However, the “entropic potential of the event” Z (T, A) that describes the impact of the event A that occurred in the moment T0 in the system R to the entropy of this system at the future moment T (T > T0) is well suited for our analysis. The article describes methods for calculating the “entropic potent
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Soloviev, Vladimir, Oleksandr Serdiuk, Serhiy Semerikov, and Arnold Kiv. Recurrence plot-based analysis of financial-economic crashes. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4121.

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The article considers the possibility of analyzing the dynamics of changes in the characteristics of time series obtained on the basis of recurrence plots. The possibility of using the studied indicators to determine the presence of critical phenomena in economic systems is considered. Based on the analysis of economic time series of different nature, the suitability of the studied characteristics for the identification of critical phenomena is assessed. The description of recurrence diagrams and characteristics of time series that can be obtained on their basis is given. An analysis of seven
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Dustafson, Donald E. Adaptive Time Series Analysis Using Predictive Inference and Entropy. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada191858.

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Walmsley, Terrie, and Robert McDougall. Using Entropy to Compare IO tables. GTAP Research Memoranda, 2005. http://dx.doi.org/10.21642/gtap.rm09.

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The importance of obtaining quality I-O tables for the GTAP Data Base has prompted the need for a method to compare contributed I-O tables. Comparisons are useful for a number of reasons. a) Time comparisons can be used to show how an economy has changed over time. b) Country comparisons may be used to show differences in cost or use structures between countries. c) Comparisons may also be used to highlight errors in construction procedures or mappings and therefore assist us in improving the quality of the data. In this document we look out how entropy can be used to compare I-O tables. The p
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Christakos, George, and Marc Serre. Modeling and Prediction of Space/Time Natural Processes Using A Bayesian Maximum Entropy. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada424350.

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Soloviev, Vladimir, and Andrey Belinskij. Methods of nonlinear dynamics and the construction of cryptocurrency crisis phenomena precursors. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2851.

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This article demonstrates the possibility of constructing indicators of critical and crisis phenomena in the volatile market of cryptocurrency. For this purpose, the methods of the theory of complex systems such as recurrent analysis of dynamic systems and the calculation of permutation entropy are used. It is shown that it is possible to construct dynamic measures of complexity, both recurrent and entropy, which behave in a proper way during actual pre-crisis periods. This fact is used to build predictors of crisis phenomena on the example of the main five crises recorded in the time series o
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Hou, Z., N. Terry, S. S. Hubbard, and B. Csatho. Entropy-Bayesian Inversion of Time-Lapse Tomographic GPR data for Monitoring Dielectric Permittivity and Soil Moisture Variations. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1062597.

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Hou, Zhangshuan, Neil C. Terry, and Susan S. Hubbard. Entropy-Bayesian Inversion of Time-Lapse Tomographic GPR data for Monitoring Dielectric Permittivity and Soil Moisture Variations. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1069207.

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Соловйов, Володимир Миколайович, Наталя Володимирівна Моісеєнко, and Олена Юріївна Тарасова. Complexity theory and dynamic characteristics of cognitive processes. Springer, 2020. http://dx.doi.org/10.31812/123456789/4143.

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The features of modeling of the cognitive component of social and humanitarian systems have been considered. An example of using entropy multiscale, multifractal, recurrence and network complexity measures has shown that these and other synergetic models and methods allow us to correctly describe the quantitative differences of cognitive systems. The cognitive process is proposed to be regarded as a separate implementation of an individual cognitive trajectory, which can be represented as a time series and to investigate its static and dynamic features by the methods of complexity theory. Prog
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Allende López, Marcos, Diego López, Sergio Cerón, et al. Quantum-Resistance in Blockchain Networks. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003313.

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This paper describes the work carried out by the Inter-American Development Bank, the IDB Lab, LACChain, Cambridge Quantum Computing (CQC), and Tecnológico de Monterrey to identify and eliminate quantum threats in blockchain networks. The advent of quantum computing threatens internet protocols and blockchain networks because they utilize non-quantum resistant cryptographic algorithms. When quantum computers become robust enough to run Shor's algorithm on a large scale, the most used asymmetric algorithms, utilized for digital signatures and message encryption, such as RSA, (EC)DSA, and (EC)DH
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