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Relevant bibliographies by topics / First quantization

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Academic literature on the topic 'First quantization'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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Journal articles on the topic "First quantization"

1

Pavšič, Matej. "A novel view on successive quantizations, leading to increasingly more “miraculous” states." Modern Physics Letters A 34, no. 23 (2019): 1950186. http://dx.doi.org/10.1142/s0217732319501861.

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A series of successive quantizations is considered, starting with the quantization of a non-relativistic or relativistic point particle: (1) quantization of a particle’s position, (2) quantization of wave function, (3) quantization of wave functional. The latter step implies that the wave packet profiles forming the states of quantum field theory are themselves quantized, which gives new physical states that are configurations of configurations. In the procedure of quantization, instead of the Schrödinger first-order equation in time derivative for complex wave function (or functional), the eq

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2

SIEGEL, W. "BOUNDARY CONDITIONS IN FIRST QUANTIZATION." International Journal of Modern Physics A 06, no. 22 (1991): 3997–4008. http://dx.doi.org/10.1142/s0217751x91001957.

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In the BRST approach to first quantization, bosonic ghosts can cause ambiguities in the cohomology (and thus in second quantization). We show how nonminimal terms give a general solution to this problem, avoiding the need for “picture-changing operators.” As examples, we consider spinning particles, superparticles, covariantized light cone bosonic string field theory, and NSR superstring field theory.

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Zeh, H. D. "There is no “first” quantization." Physics Letters A 309, no. 5-6 (2003): 329–34. http://dx.doi.org/10.1016/s0375-9601(03)00209-3.

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Bergeron, Hervé, and Jean-Pierre Gazeau. "Variations à la Fourier-Weyl-Wigner on Quantizations of the Plane and the Half-Plane." Entropy 20, no. 10 (2018): 787. http://dx.doi.org/10.3390/e20100787.

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Any quantization maps linearly function on a phase space to symmetric operators in a Hilbert space. Covariant integral quantization combines operator-valued measure with the symmetry group of the phase space. Covariant means that the quantization map intertwines classical (geometric operation) and quantum (unitary transformations) symmetries. Integral means that we use all resources of integral calculus, in order to implement the method when we apply it to singular functions, or distributions, for which the integral calculus is an essential ingredient. We first review this quantization scheme

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Mannheim, Philip D. "Klein-Gordon propagator via first quantization." Physics Letters B 166, no. 2 (1986): 191–95. http://dx.doi.org/10.1016/0370-2693(86)91376-6.

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Hannibal, Ludger. "First quantization of mass and charge." International Journal of Theoretical Physics 30, no. 11 (1991): 1445–59. http://dx.doi.org/10.1007/bf00675610.

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SARARU, SILVIU CONSTANTIN. "MASSIVE p-FORMS: FIRST-CLASS APPROACHES." International Journal of Modern Physics A 27, no. 22 (2012): 1250119. http://dx.doi.org/10.1142/s0217751x12501199.

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Massive p-forms are analyzed from the point of view of the Hamiltonian path integral quantization. More precisely, the quantization procedure is based on the path integral of a first-class system equivalent (at both classical and quantum levels) with the original theory. This first-class system is constructed using the gauge unfixing approach and the Batalin–Fradkin method, respectively. Both methods finally output the manifestly Lorentz covariant path integral for p- and (D-p-1)-forms with topological coupling or (p-1)- and p-forms with Stückelberg coupling.

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Ebler, Fabian, Machiko Hatsuda, Eric Laenen, et al. "Covariant quantization of the first-ilk superparticle." Nuclear Physics B 364, no. 1 (1991): 67–84. http://dx.doi.org/10.1016/0550-3213(91)90578-l.

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Sararu, S. C., and M. T. Udristioiu. "A Note On The First Class Approaches Of Massive P-Forms." Annals of West University of Timisoara - Physics 56, no. 1 (2012): 62–67. http://dx.doi.org/10.1515/awutp-2015-0009.

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AbstractThe problem of quantization of the massive p-forms is considered in the framework of the Batalin-Fradkin (BF) approach based on path integral. The quantization procedure relies on the path integral of a first-class system equivalent with the original theory. This first-class system is constructed using the BF method.

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POPOV, A. D. "FOCK BUNDLES AND QUANTIZATION OF SYSTEMS WITH FIRST CLASS CONSTRAINTS." Modern Physics Letters A 09, no. 37 (1994): 3467–79. http://dx.doi.org/10.1142/s0217732394003294.

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The flat phase space (R2n, ω) with a symmetry group G generated by quadratic first class constraints is considered. We analyze the quantization of this constrained system in terms of the Fock bundle [Formula: see text], where S=Sp(2n, R)/U(n) is the space of positive translationally invariant complex structures J on (R2n, ω) and fibers HJ are the Hilbert spaces of quantization associated with the space (R2n, ω, J).

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Dissertations / Theses on the topic "First quantization"

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Khirirat, Sarit. "First-Order Algorithms for Communication Efficient Distributed Learning." Licentiate thesis, KTH, Reglerteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263738.

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Technological developments in devices and storages have made large volumes of data collections more accessible than ever. This transformation leads to optimization problems with massive data in both volume and dimension. In response to this trend, the popularity of optimization on high performance computing architectures has increased unprecedentedly. These scalable optimization solvers can achieve high efficiency by splitting computational loads among multiple machines. However, these methods also incur large communication overhead. To solve optimization problems with millions of parameters,

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Kottmann, Jakob Siegfried. "Coupled-Cluster in Real Space." Doctoral thesis, Humboldt-Universität zu Berlin, 2018. http://dx.doi.org/10.18452/19357.

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In dieser Arbeit werden Algorithmen für die Berechnung elektronischer Korrelations- und Anregungsenergien mittels der Coupled-Cluster Methode auf adaptiven Gittern entwickelt und implementiert. Die jeweiligen Funktionen und Operatoren werden adaptiv durch Multiskalenanalyse dargestellt, was eine Basissatz unabängige Beschreibung mit kontrollierter numerischer Genauigkeit ermöglicht. Gleichungen für die Coupled-Cluster Methode werden in einem verallgemeinerten Rahmen, unabhängig von virtuellen Orbitalen und globalen Basissätzen, neu formuliert. Hierzu werden die amplitudengewichteten Anr

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Books on the topic "First quantization"

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Summer School in Analysis and Mathematical Physics (1st 1998 Cuernavaca, Mexico). First Summer School in Analysis and Mathematical Physics: Quantization, the Segal-Bargmann transform, and semiclassical analysis : First Summer School in Analysis and Mathematical Physics, Cuernavaca Morelos, Mexico, June 8-18, 1998. Edited by Pérez-Esteva Salvador 1955- and Villegas-Blas Carlos 1964-. American Mathematical Society, 2000.

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S, Kim Y., and Zachary W. W. 1935-, eds. The physics of phase space: Nonlinear dynamics and chaos, geometric quantization, and Wigner function : proceedings of the First International Conference on the Physics of Phase Space, held at the University of Maryland, College Park, Maryland, May 20-23, 1986. Springer-Verlag, 1987.

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Workshop on Geometrical Aspects of Quantum Fields 200 State universit (Corporate Author), Andrei A. Bytsenko (Editor), Antonio E. Goncalves (Editor), and Bruto M. Pimentel (Editor), eds. Geometrical Aspects of Quantum Fields: Proceedings of the First Workshop State University of Londrina, Brazil Held on 17-22 April 2000. World Scientific Publishing Company, 2001.

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Cuernavaca, m. Summer School in Analysis and Mathematical Physics 1998, Salvador Perez-Esteva, and Carlos Villegas-Blas. First Summer School in Analysis and Mathematical Physics: Quantization, the Segal-Bargmann Transform, and Semiclassical Analysis : First Summer School ... Morelos (Contemporary Mathematics). American Mathematical Society, 2000.

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5

Levin, Frank S. The Nuclear Atom. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198808275.003.0006.

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Chapter 5 describes how the concept of quantization (discretization) was first applied to atoms. This was done in 1913 by Niels Bohr, using Ernest Rutherford’s paradigm-changing, solar-system model of atomic structure, wherein the positively charged nucleus occupies a tiny central space, much smaller than the known sizes of atoms. Bohr, postulating a quantized version of this model for hydrogen, was able to explain previously inexplicable experimental features of that atom. He did so via an ad hoc quantization procedure that discretized the single electron’s energy, its angular momentum, and t

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Burton, J. D., and E. Y. Tsymbal. Magnetoresistive phenomena in nanoscale magnetic contacts. Edited by A. V. Narlikar and Y. Y. Fu. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199533046.013.18.

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This article examines magnetoresistive phenomena in nano- and atomic-size ferromagnetic metal contacts. In particular, it considers how magnetization affects the flow of electrical current in ferromagnetic materials by focusing on two major categories of magnetoresistive phenomena: the ‘spin-valve’, where the flow of spin-polarized electrical current is affected by an inhomogeneous magnetization profile, and anisotropic magnetoresistance (AMR), which involves the anisotropy of electrical transport properties with respect to the orientation of the magnetization. The article first provides an ov

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Milonni, Peter W. An Introduction to Quantum Optics and Quantum Fluctuations. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780199215614.001.0001.

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This book is an introduction to quantum optics for students who have studied electromagnetism and quantum mechanics at an advanced undergraduate or graduate level. It provides detailed expositions of theory with emphasis on general physical principles. Foundational topics in classical and quantum electrodynamics, including the semiclassical theory of atom-field interactions, the quantization of the electromagnetic field in dispersive and dissipative media, uncertainty relations, and spontaneous emission, are addressed in the first half of the book. The second half begins with a chapter on the

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Shore, Bruce W. Our Changing Views of Photons. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198862857.001.0001.

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This book describes the changing views of the physics community toward photons, and how photons are viewed today in several contexts. The first portion, a ninechapter Memoir with few equations and many definitions, explains the changing view of physicists toward radiation and its wave-particle photons, written for those with interest but possibly without technical background. It gives operational definitions that have been used for photons and their association with quantum-state manipulations that include Quantum Information, astronomical sources and crowds of photons, the boxed fields of cav

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Book chapters on the topic "First quantization"

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Kragh, Helge. "Quantization (First, Second)." In Compendium of Quantum Physics. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-70626-7_155.

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Vergne, Michèle. "Geometric Quantization and Equivariant Cohomology." In First European Congress of Mathematics. Birkhäuser Basel, 1994. http://dx.doi.org/10.1007/978-3-0348-9110-3_8.

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Vergne, Michèle. "Geometric Quantization and Equivariant Cohomology." In First European Congress of Mathematics Paris, July 6–10, 1992. Birkhäuser Basel, 1994. http://dx.doi.org/10.1007/978-3-0348-9328-2_8.

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Galvan, Fausto, Giovanni Puglisi, Arcangelo R. Bruna, and Sebastiano Battiato. "First Quantization Coefficient Extraction from Double Compressed JPEG Images." In Image Analysis and Processing – ICIAP 2013. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41181-6_79.

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Battiato, Sebastiano, Oliver Giudice, Francesco Guarnera, and Giovanni Puglisi. "In-Depth DCT Coefficient Distribution Analysis for First Quantization Estimation." In Pattern Recognition. ICPR International Workshops and Challenges. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68780-9_45.

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Batalin, I. A., and E. S. Fradkin. "Operatorial quantization of dynamical systems with irreducible first and second class constraints." In Field Theory, Quantum Gravity and Strings II. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/3-540-17925-9_26.

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7

"First quantization." In Nanoelectronics. World Scientific, 2016. http://dx.doi.org/10.1142/9789813144507_0003.

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8

"FIRST-CLASS CONSTRAINTS:." In Quantization of Gauge Systems. Princeton University Press, 2020. http://dx.doi.org/10.2307/j.ctv10crg0r.10.

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9

Salasnich, Luca. "First vs second quantization." In Quantum Physics of Light and Matter - Quantum Field Theory of Non-Relativistic Matter. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63300-4_5.

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"CHAPTER FIVE. FIRST-CLASS CONSTRAINTS: FURTHER DEVELOPMENTS." In Quantization of Gauge Systems. Princeton University Press, 1992. http://dx.doi.org/10.1515/9780691213866-008.

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Conference papers on the topic "First quantization"

1

Gao, Lianli, Xiaosu Zhu, Jingkuan Song, Zhou Zhao, and Heng Tao Shen. "Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/102.

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Product Quantization (PQ) has long been a mainstream for generating an exponentially large codebook at very low memory/time cost. Despite its success, PQ is still tricky for the decomposition of high-dimensional vector space, and the retraining of model is usually unavoidable when the code length changes. In this work, we propose a deep progressive quantization (DPQ) model, as an alternative to PQ, for large scale image retrieval. DPQ learns the quantization codes sequentially and approximates the original feature space progressively. Therefore, we can train the quantization codes with differe

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Li, Fengjie, Wei Tong, Rong Jin, Anil K. Jain, and Jung-Eun Lee. "An efficient key point quantization algorithm for large scale image retrieval." In the First ACM workshop. ACM Press, 2009. http://dx.doi.org/10.1145/1631058.1631075.

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Wu, Hong, Yongguo Liu, and Mao Ye. "Applying pLSA to region-based image categorization with soft vector quantization." In the First International Conference. ACM Press, 2009. http://dx.doi.org/10.1145/1734605.1734631.

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Puglisi, Giovanni, Arcangelo Ranieri Bruna, Fausto Galvan, and Sebastiano Battiato. "First JPEG quantization matrix estimation based on histogram analysis." In 2013 20th IEEE International Conference on Image Processing (ICIP). IEEE, 2013. http://dx.doi.org/10.1109/icip.2013.6738927.

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Baolong, Guo, and Fu Xiang. "A Modified Octree Color Quantization Algorithm." In 2006 First International Conference on Communications and Networking in China. IEEE, 2006. http://dx.doi.org/10.1109/chinacom.2006.344643.

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Guan, Zhenhong, and Zeming Zhou. "Adaptive Vector Quantization of SAR Raw Data." In 2009 First International Conference on Information Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icise.2009.213.

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Veeraswamy, Kilari, B. Chandra Mohan, Y. V. Bhaskar Reddy, and S. Srinivas Kumar. "Energy Based Quantization for Image Compression Using Contourlet Transform." In 2009 First International Conference on Networks & Communications. IEEE, 2009. http://dx.doi.org/10.1109/netcom.2009.26.

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Fan, Wei, Kai Wang, François Cayre, and Zhang Xiong. "JPEG anti-forensics using non-parametric DCT quantization noise estimation and natural image statistics." In the first ACM workshop. ACM Press, 2013. http://dx.doi.org/10.1145/2482513.2482536.

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Villmann, T., and F. M. Schleif. "Funtional vector quantization by neural maps." In 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2009. http://dx.doi.org/10.1109/whispers.2009.5289064.

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Lin, I.-Te, Chun-Feng Wu, Sin-Horng Chen, and Wen-Whei Chang. "Multiple Description Quantization for Recognizing Voice Over Packet Networks." In 2006 First International Conference on Communications and Networking in China. IEEE, 2006. http://dx.doi.org/10.1109/chinacom.2006.344720.

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