Academic literature on the topic 'Quantum recurrence'

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Journal articles on the topic "Quantum recurrence"

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Kuznetsov, Vladimir. "Shock-wave model of the earthquake and Poincaré quantum theorem give an insight into the aftershock physics." E3S Web of Conferences 62 (2018): 03006. http://dx.doi.org/10.1051/e3sconf/20186203006.

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A fundamentally new model of aftershocks evident from the shock-wave model of the earthquake and Poincaré Recurrence Theorem [H. Poincare, Acta Mathematica 13, 1 (1890)] is proposed here. The authors (Recurrences in an isolated quantum many-body system, Science 2018) argue that the theorem should be formulated as “Complex systems return almost exactly into their initial state”. For the first time, this recurrence theorem has been demonstrated with complex quantum multi-particle systems. Our shock-wave model of an earthquake proceeds from the quantum entanglement of protons in hydrogen bonds of
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A. A, Berezin. "The Fermi-Pasta-Ulam Quantum Recurrence in The Dynamics of an Elementary Physical Vacuum Cell and The Problem of its Polarization." Journal of Energy Conservation 1, no. 3 (2020): 1–12. http://dx.doi.org/10.14302/issn.2642-3146.jec-20-3179.

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A model of a Quantum recurrence in the dynamics of an elementary physical vacuum cell within the framework of four coupled Shrodinger equations has been suggested. The model of an elementary vacuum cell shows that a Quantum recurrence which represents the dynamics of virtual transformations in the cell, qualitatively differs from that of Poincare and the Fermi-Pasta-Ulam. Whereas these recurrences develop in time or space, the Quantum recurrence develops in a sequence of Fourier images represented by non exponentially separating functions. The sequence experiences random energy additions but n
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Dolce, Donatello. "The role of quantum recurrence in superconductivity, carbon nanotubes and related gauge symmetry breaking." Foundations of Physics 44, no. 9 (2014): 2014. https://doi.org/10.1007/s10701-014-9816-y.

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Pure quantum phenomena are characterized by intrinsic recurrences in space and time. We use such an intrinsic periodicity as a quantization condition to derive the essential phenomenology of superconductivity. The resulting description is based on fundamental quantum dynamics and geometrical considerations, rather than on microscopical characteristics of the superconducting materials. This allows for the interpretation of the related gauge symmetry breaking by means of the competition between quantum recurrence and thermal noise. We also test the validity of this approach to describe the case
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Kiss, T., L. Kecskés, M. Štefaňák, and I. Jex. "Recurrence in coined quantum walks." Physica Scripta T135 (July 2009): 014055. http://dx.doi.org/10.1088/0031-8949/2009/t135/014055.

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Dhahri, Ameur, and Farrukh Mukhamedov. "Open quantum random walks, quantum Markov chains and recurrence." Reviews in Mathematical Physics 31, no. 07 (2019): 1950020. http://dx.doi.org/10.1142/s0129055x1950020x.

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In the present paper, we construct QMCs (Quantum Markov Chains) associated with Open Quantum Random Walks such that the transition operator of the chain is defined by OQRW and the restriction of QMC to the commutative subalgebra coincides with the distribution [Formula: see text] of OQRW. This sheds new light on some properties of the measure [Formula: see text]. As an example, we simply mention that the measure can be considered as a distribution of some functions of certain Markov processes. Furthermore, we study several properties of QMC and associated measures. A new notion of [Formula: se
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Sikri, A. K., and M. L. Narchal. "Quantum recurrence in a quasibound system." Physical Review A 47, no. 6 (1993): 4605–7. http://dx.doi.org/10.1103/physreva.47.4605.

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Kryvohuz, Maksym, and Jianshu Cao. "Quantum recurrence from a semiclassical resummation." Chemical Physics 322, no. 1-2 (2006): 41–45. http://dx.doi.org/10.1016/j.chemphys.2005.07.021.

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Li, Chi Kwong, and Diane Christine Pelejo. "Decomposition of quantum gates." International Journal of Quantum Information 12, no. 01 (2014): 1450002. http://dx.doi.org/10.1142/s0219749914500026.

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A recurrence scheme is presented to decompose an n-qubit unitary gate to the product of no more than N(N - 1)/2 single qubit gates with small number of controls, where N = 2n. Detailed description of the recurrence steps and formulas for the number of k-controlled single qubit gates in the decomposition are given. Comparison of the result to a previous scheme is presented, and future research directions are discussed.
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ISAEV, A. P., and O. OGIEVETSKY. "BRST OPERATOR FOR QUANTUM LIE ALGEBRAS: EXPLICIT FORMULA." International Journal of Modern Physics A 19, supp02 (2004): 240–47. http://dx.doi.org/10.1142/s0217751x04020440.

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We continue our study of quantum Lie algebras, an important class of quadratic algebras arising in the Woronowicz calculus on a quantum group. Quantum Lie algebras are generalizations of Lie (super)algebras. Many notions from the theory of Lie (super)algebras admit "quantum" analogues. In particular, there is a BRST operator Q(Q2=0) which generates the differential in the Woronowicz theory and gives information about (co)homologies of quantum Lie algebras. In our previous papers a recurrence relation for the operator Q for quantum Lie algebras was given. Here we solve this recurrence relation
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Nakanishi, Noboru. "Quantum Recurrence Relation and Its Generating Functions." Publications of the Research Institute for Mathematical Sciences 49, no. 1 (2013): 177–88. http://dx.doi.org/10.4171/prims/101.

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Dissertations / Theses on the topic "Quantum recurrence"

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Werner, Albert H. [Verfasser]. "Localization and recurrence in quantum walks / Albert H. Werner." Hannover : Technische Informationsbibliothek und Universitätsbibliothek Hannover (TIB), 2013. http://d-nb.info/1046028499/34.

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GIROTTI, FEDERICO. "Absorption in Invariant Domains for quantum Markov evolutions." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2022. http://hdl.handle.net/10281/364224.

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Lo scopo del presente lavoro di tesi è lo studio delle dinamiche di assorbimento in domini invarianti (enclosures) per semigruppi markoviani quantistici. Il lavoro è diviso in tre capitoli. Nel primo capitolo ricordiamo le principali definizioni, proprietà e risultati riguardanti gli oggetti matematici con cui si avrà a che fare: W*-algebre, stati normali e semigruppi markoviani quantistici. Nel secondo capitolo introduciamo la nozione di operatore di assorbimento associato ad un determinato dominio invariante, che è la generalizzazione non commutativa delle probabilità di assorbimento; gli
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Ahamed, Woakil Uddin. "Quantum recurrent neural networks for filtering." Thesis, University of Hull, 2009. http://hydra.hull.ac.uk/resources/hull:2411.

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The essence of stochastic filtering is to compute the time-varying probability densityfunction (pdf) for the measurements of the observed system. In this thesis, a filter isdesigned based on the principles of quantum mechanics where the schrodinger waveequation (SWE) plays the key part. This equation is transformed to fit into the neuralnetwork architecture. Each neuron in the network mediates a spatio-temporal field witha unified quantum activation function that aggregates the pdf information of theobserved signals. The activation function is the result of the solution of the SWE. Theincorpor
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Roche, Stéphan. "Contribution à l'étude théorique du transport électronique dans les quasicristaux." Université Joseph Fourier (Grenoble), 1996. http://www.theses.fr/1996GRE10208.

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Les quasicristaux sont des materiaux ordonnes presentant une coherence orientationnelle a longue distance sans periodicite de translation. Leurs proprietes electroniques sont spectaculaires. L'alliage quasicristallin a1pdre qui est compose de metaux bons conducteurs, presente pourtant une resistivite de l'ordre de grandeur de celle des semiconducteurs bien que sa densite d'etats au niveau de fermi soit typique d'un metal. Nous etudions le role des defauts structuraux phasons sur le transport quantique de chaines quasiperiodiques (de fibonacci) et de reseaux de fils interconnectes. Nous trouvon
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Cîrstea, Bogdan-Ionut. "Contribution à la reconnaissance de l'écriture manuscrite en utilisant des réseaux de neurones profonds et le calcul quantique." Electronic Thesis or Diss., Paris, ENST, 2018. http://www.theses.fr/2018ENST0059.

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Dans cette thèse, nous fournissons plusieurs contributions des domaines de l’apprentissage profond et du calcul quantique à la reconnaissance de l’écriture manuscrite. Nous commençons par intégrer certaines des techniques d’apprentissage profond les plus récentes(comme dropout, batch normalization et différentes fonctions d’activation) dans les réseaux de neurones à convolution et obtenons des meilleures performances sur le fameux jeu de données MNIST. Nous proposons ensuite des réseaux TSTN (Tied Spatial Transformer Networks), une variante des réseaux STN (Spatial Transformer Networks) avec p
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Jun, Kihwan. "Modified non-restoring division algorithm with improved delay profile." Thesis, 2011. http://hdl.handle.net/2152/ETD-UT-2011-05-3300.

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This thesis focuses on reducing the delay of non-restoring division. Although the digit recurrence division is lower in complexity and occupies a smaller area than division by convergence, it has a drawback: slow division speed. To mitigate this problem, two modification ideas are proposed here for the non-restoring division, the fastest division algorithm of the digit recurrence division methods. For the first proposed approach, the delay of the multiplexer for selecting the quotient digit and determining the way to calculate the partial remainder can be reduced through inverting the order o
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Books on the topic "Quantum recurrence"

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Boudreau, Joseph F., and Eric S. Swanson. Numerical quadrature. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0005.

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This chapter discusses the numerous applications of numerical quadrature (integration) in classical mechanics, in semiclassical approaches to quantum mechanics, and in statistical mechanics; and then describes several ways of implementing integration in C++, for both proper and improper integrals. Various algorithms are described and analyzed, including simple classical quadrature algorithms as well as those enhanced with speedups and convergence tests. Classical orthogonal polynomials, whose properties are reviewed, are the basis of a sophisticated technique known as Gaussian integration. Pra
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Mann, Peter. Hamilton-Jacobi Theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198822370.003.0019.

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This chapter focuses on Liouville’s theorem and classical statistical mechanics, deriving the classical propagator. The terms ‘phase space volume element’ and ‘Liouville operator’ are defined and an n-particle phase space probability density function is constructed to derive the Liouville equation. This is deconstructed into the BBGKY hierarchy, and radial distribution functions are used to develop n-body correlation functions. Koopman–von Neumann theory is investigated as a classical wavefunction approach. The chapter develops an operatorial mechanics based on classical Hilbert space, and dis
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Gandhi, Vaibhav. Brain-Computer Interfacing for Assistive Robotics: Electroencephalograms, Recurrent Quantum Neural Networks, and User-Centric Graphical Interfaces. Academic Press, 2014.

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Gandhi, Vaibhav. Brain-Computer Interfacing for Assistive Robotics: Electroencephalograms, Recurrent Quantum Neural Networks, and User-Centric Graphical Interfaces. Elsevier Science & Technology Books, 2014.

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Perdigão, Rui A. P. Unfolding the Manifold Flavours of Causality. Meteoceanics Institute, 2024. http://dx.doi.org/10.46337/mdsc.1804.

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The present work provides a contribution to an overarching cross-methodological causality investigation, encompassing a methodological synergy among physical, analytical, information-theoretic and systems intelligence approaches to causal discovery and quantification in complex system dynamics. These efforts methodologically lead to the emergence of a broader causal framework, valid not only in classical recurrence-based dynamical systems, but also on the generalized information physics of non-ergodic coevolutionary spatiotemporal complexity. This study begins with a comprehensive cross-examin
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Book chapters on the topic "Quantum recurrence"

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Bardet, Ivan, Hugo Bringuier, Yan Pautrat, and Clément Pellegrini. "Recurrence and Transience of Continuous-Time Open Quantum Walks." In Lecture Notes in Mathematics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28535-7_18.

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Sato, Ken-Iti, and Kouji Yamamuro. "Recurrence-Transience for Self-similar Additive Processes Associated with Stable Distributions." In Recent Developments in Infinite-Dimensional Analysis and Quantum Probability. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0842-6_27.

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Zak, Michail, and Colin P. Williams. "Quantum Recurrent Networks for Simulating Stochastic Processes." In Quantum Computing and Quantum Communications. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-49208-9_5.

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Tate, Naoya. "Quantum-Dot-Based Photonic Reservoir Computing." In Photonic Neural Networks with Spatiotemporal Dynamics. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5072-0_4.

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AbstractReservoir computing is a novel computational framework based on the characteristic behavior of recurrent neural networks. In particular, a recurrent neural network for reservoir computing is defined as a reservoir, which is implemented as a fixed and nonlinear system. Recently, to overcome the limitation of data throughput between processors and storage devices in conventional computer systems during processing, known as the Von Neumann bottleneck, physical implementations of reservoirs have been actively investigated in various research fields. The author’s group has been currently st
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Allauddin, Raheel, Stuart Boehmer, Elizabeth C. Behrman, Kavitha Gaddam, and James E. Steck. "Quantum Simulataneous Recurrent Networks for Content Addressable Memory." In Quantum Inspired Intelligent Systems. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78532-3_3.

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Drias, Yassine, Alaa Eddine Siouane, and Tuna Çakar. "Quantum Recurrent Neural Networks for Soil Profiles Prediction in Türkiye." In Quantum Computing: Applications and Challenges. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59318-5_10.

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Hashimoto, Masanori, Takuto Matsumoto, Masafumi Tanaka, et al. "Exploring Integrated Device Implementation for FRET-Based Optical Reservoir Computing." In Photonic Neural Networks with Spatiotemporal Dynamics. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5072-0_5.

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AbstractThis chapter explores a reservoir computing (RC) device based on fluorescence resonance energy transfer (FRET) between quantum dots (QDs). We propose a compact structure in which optical input/output and quantum dots are adjacently placed without lenses or delay lines. The proposed structure exploits the QD-based optical reservoir as an intermediate layer and adopts memory to enable recurrent inputs. We evaluate the feasibility of the proposed structure by applying tasks that require nonlinearity. Simulation-based experimental results show that the proposed device can perform logistic
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Combescure, Monique. "Recurrent Versus Diffusive Quantum Behavior for Time Dependent Hamiltonians." In Operator Calculus and Spectral Theory. Birkhäuser Basel, 1992. http://dx.doi.org/10.1007/978-3-0348-8623-9_2.

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Šponer, Jiří, Judit E. Šponer, and Neocles B. Leontis. "Quantum Chemical Studies of Recurrent Interactions in RNA 3D Motifs." In Nucleic Acids and Molecular Biology. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25740-7_12.

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Pleutin, Stéphane, Eric Jeckelmann, Miguel A. Martín-Delgado, and German Sierra. "Recurrent Variational Approach Applied to the Electronic Structure of Conjugated Polymers." In New Trends in Quantum Systems in Chemistry and Physics. Springer Netherlands, 2000. http://dx.doi.org/10.1007/0-306-46950-2_10.

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Conference papers on the topic "Quantum recurrence"

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Xu, Wenduan, Stephen Clark, Douglas Brown, Gabriel Matos, and Konstantinos Meichanetzidis. "Quantum Recurrent Architectures for Text Classification." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.1000.

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Stiller, Birgit. "Light-Sound Interactions for Optical Computing and Quantum Applications." In Optical Fiber Communication Conference. Optica Publishing Group, 2025. https://doi.org/10.1364/ofc.2025.w1d.3.

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We experimentally enhance photonic neural networks with acoustic functionality, e.g. an optoacoustic recurrent operator and optoacoustic activation functions. We demonstrate phonon cooling and the conditions for photon-phonon entanglement leading to new quantum signal processing schemes. Full-text article not available; see video presentation
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Jadhav, Shital, Mahip Bartere, and Sonal Patil. "Review of Deep Fake Detection Using Deep Learning Convolutional, Recurrent, and Graph Networks." In 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA). IEEE, 2024. https://doi.org/10.1109/icaiqsa64000.2024.10882268.

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Schneider, Guillermo, Mariano Real, and Ricardo Iuzzolino. "Application of LSTMs Recurrent Neural Networks to Characterize a Digitizer Using a Quantum Voltage Standard." In 2024 IEEE Biennial Congress of Argentina (ARGENCON). IEEE, 2024. http://dx.doi.org/10.1109/argencon62399.2024.10735866.

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Tran, Bao-Nhi Dang, Muhammad Fahim, Bradley D. E. McNiven, Stephen Czarnuch, Octavia A. Dobre, and Trung Q. Duong. "Quantum-based Gated Recurrent Units for Multiclass Classification to Monitor Daily Living Activities for Early Disease Detection." In 2024 IEEE International Conference on E-health Networking, Application & Services (HealthCom). IEEE, 2024. https://doi.org/10.1109/healthcom60970.2024.10880739.

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Nitsche, Thomas, Regina Kruse, Linda Sansoni, et al. "Probing the measurement process in DTQW via recurrence." In Quantum Information and Measurement. OSA, 2017. http://dx.doi.org/10.1364/qim.2017.qt5a.5.

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Ruan, Liangzhong, Wenhan Dai, and Moe Z. Win. "Analysis of Efficient Recurrence Quantum Entanglement Distillation." In 2016 IEEE Globecom Workshops (GC Wkshps). IEEE, 2016. http://dx.doi.org/10.1109/glocomw.2016.7848836.

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Ruan, Liangzhong, Wenhan Dai, and Moe Z. Win. "Efficient Recurrence Quantum Distillation Algorithm for Phase-Damping Channel." In 2015 IEEE Globecom Workshops (GC Wkshps). IEEE, 2015. http://dx.doi.org/10.1109/glocomw.2015.7413964.

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Erkintalo, Miro, Goery Genty, Benjamin Wetzel, and John M. Dudley. "Frequencydoubling and recurrence phenomena in Akhmediev breathers pulse trains." In 12th European Quantum Electronics Conference CLEO EUROPE/EQEC. IEEE, 2011. http://dx.doi.org/10.1109/cleoe.2011.5943560.

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Vahala, George, Jeffrey Yepez, Linda Vahala, Min Soe, and Sean Ziegeler. "Poincare recurrence and intermittent destruction of the quantum Kelvin wave cascade in quantum turbulence." In SPIE Defense, Security, and Sensing, edited by Eric J. Donkor, Andrew R. Pirich, and Howard E. Brandt. SPIE, 2010. http://dx.doi.org/10.1117/12.850576.

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Reports on the topic "Quantum recurrence"

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Perdigão, Rui A. P. New Horizons of Predictability in Complex Dynamical Systems: From Fundamental Physics to Climate and Society. Meteoceanics, 2021. http://dx.doi.org/10.46337/211021.

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Discerning the dynamics of complex systems in a mathematically rigorous and physically consistent manner is as fascinating as intimidating of a challenge, stirring deeply and intrinsically with the most fundamental Physics, while at the same time percolating through the deepest meanders of quotidian life. The socio-natural coevolution in climate dynamics is an example of that, exhibiting a striking articulation between governing principles and free will, in a stochastic-dynamic resonance that goes way beyond a reductionist dichotomy between cosmos and chaos. Subjacent to the conceptual and ope
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