Relevant bibliographies by topics / Density matrices

Academic literature on the topic 'Density matrices'

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Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Density matrices"

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Soirat, A., M. Flocco, and L. Massa. "ApproximatelyN-representable density functional density matrices." International Journal of Quantum Chemistry 49, no. 3 (January 20, 1994): 291–98. http://dx.doi.org/10.1002/qua.560490317.

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March, N. H. "Density functional theory via density matrices." International Journal of Quantum Chemistry 56, S29 (February 25, 1995): 137–44. http://dx.doi.org/10.1002/qua.560560814.

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Życzkowski, Karol, Karol A. Penson, Ion Nechita, and Benoît Collins. "Generating random density matrices." Journal of Mathematical Physics 52, no. 6 (June 2011): 062201. http://dx.doi.org/10.1063/1.3595693.

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Brüning, E., H. Mäkelä, A. Messina, and F. Petruccione. "Parametrizations of density matrices." Journal of Modern Optics 59, no. 1 (January 10, 2012): 1–20. http://dx.doi.org/10.1080/09500340.2011.632097.

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Schwarz, W. H. E., and B. Müller. "Density matrices from densities." Chemical Physics Letters 166, no. 5-6 (March 1990): 621–26. http://dx.doi.org/10.1016/0009-2614(90)87161-j.

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Peres, Asher. "Separability Criterion for Density Matrices." Physical Review Letters 77, no. 8 (August 19, 1996): 1413–15. http://dx.doi.org/10.1103/physrevlett.77.1413.

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Henderson, Thomas M., Carlos A. Jiménez-Hoyos, and Gustavo E. Scuseria. "Magnetic Structure of Density Matrices." Journal of Chemical Theory and Computation 14, no. 2 (December 29, 2017): 649–59. http://dx.doi.org/10.1021/acs.jctc.7b01016.

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Kim, Sejong, Sungwoon Kim, and Hosoo Lee. "Factorizations of invertible density matrices." Linear Algebra and its Applications 463 (December 2014): 190–204. http://dx.doi.org/10.1016/j.laa.2014.09.014.

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Asorey, M., A. Kossakowski, G. Marmo, and E. C. G. Sudarshan. "Dynamical maps and density matrices." Journal of Physics: Conference Series 196 (November 1, 2009): 012023. http://dx.doi.org/10.1088/1742-6596/196/1/012023.

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Brüning, E., and S. Nagamachi. "Parametrizations of degenerate density matrices." Reviews in Mathematical Physics 29, no. 08 (August 20, 2017): 1750026. http://dx.doi.org/10.1142/s0129055x1750026x.

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It turns out that a parametrization of degenerate density matrices requires a parametrization of [Formula: see text], [Formula: see text] where [Formula: see text] denotes the set of all unitary [Formula: see text]-matrices with complex entries. Unfortunately, the parametrization of this quotient space is quite involved. Our solution does not rely on Lie algebra methods directly, but succeeds through the construction of suitable sections for natural projections, by using techniques from the theory of homogeneous spaces. We mention the relation to the Lie algebra background and conclude with two concrete examples.
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Dissertations / Theses on the topic "Density matrices"

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Rodríguez, Mayorga Mauricio. "Reduced density matrices: development and chemical applications." Doctoral thesis, Universitat de Girona, 2018. http://hdl.handle.net/10803/664261.

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In this thesis, we focused on the alternative methodologies that are based on the reconstruction of density matrices. While in DFT several benchmarks can be found in the literature, for the rest of alternative methodologies there were not any comprehensive benchmarks where the quality of the approximated reduce density matrices (RDMs) were analyzed. Thus, in this thesis, we have performed an exhaustive benchmark for the approximations available in the literature that reconstruct the 2- and 3-order RDMs. RDMs provide access to physical magnitudes as the intracule probability density (IPD). Actually, the radial IPD can be measured experimentally from X-Ray scattering; hence we focused on a deep understanding of this magnitude and, to that end, we analyzed the evolution of the radial IPD in isolated atoms and in the bond formation process. Finally, since RDMs also provide means to evaluate the bond order, we characterized the so-called harpoon mechanism
En esta tesis, nos enfocamos en metodologías alternativas que se basan en la reconstrucción de matrices de densidad. Mientras que en DFT varias calibraciones se pueden encontrar en la literatura, para el resto de metodologías alternativas no hay ninguna calibración donde la calidad de la matrices sea analizada. Por lo tanto, en esta tesis, desarrollamos una calibración exhaustiva para las aproximaciones disponibles en la literatura que reconstruyen matrices de orden 2 y 3. Las matrices densidad proporcionan acceso a magnitudes físicas como la densidad de probabilidad intracular (IPD). Nos centramos en una comprensión profunda de esta magnitud y, para ese fin, analizamos la evolución del IPD radial en átomos aislados y en el proceso de formación de enlaces. Finalmente, desde las matrices densidad también podemos evaluar el orden de los enlaces, y lo usamos para caracterizar el llamado mecanismo de arpón
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Overy, Catherine Mary. "Reduced density matrices and stochastic quantum chemistry." Thesis, University of Cambridge, 2014. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708241.

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Scholz, Timothy Theodore. "Density matrix theory of diatomic molecules." Title page, contents and summary only, 1989. http://web4.library.adelaide.edu.au/theses/09SM/09sms368.pdf.

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Rubensson, Emanuel. "Sparse Matrices in Self-Consistent Field Methods." Licentiate thesis, Stockholm : KTH Biotechnology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4219.

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Yam, Chi-yung, and 任志勇. "Linear-scaling time-dependent density functional theory." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B31246199.

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Schäfer-Bung, Boris, and Mathias Nest. "Correlated dynamics of electrons with reduced two-electron density matrices." Universität Potsdam, 2008. http://opus.kobv.de/ubp/volltexte/2010/4177/.

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We present an approach to the correlated dynamics of many-electron systems. We show, that the twoelectron reduced density matrix (2RDM) can provide a suitable description of the real time evolution of a system. To achieve this, the hierarchy of equations of motion must be truncated in a practical way. Also, the computational effort, given that the 2RDM is represented by products of two-electron determinants, is discussed, and numerical model calculations are presented.
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Liang, Wanzhen. "Localized-denisty-matrix method and its application to nano-size systems." Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk/hkuto/record.jsp?B22718771.

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Fung, Russell. "Trajectory calculation in an electrostatic positron beam using a reformulated extended charge density model /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B20567017.

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Raynal, Philippe. "Unambiguous state discrimination of two density matrices in quantum information theory." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=981136737.

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Clin, Lucien Cyril. "Cholesky decomposed density matrices in laplace transform Møller-Plesset perturbation theory." Diss., lmu, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-152656.

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Books on the topic "Density matrices"

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Erdahl, Robert, and Vadene H. Smith, eds. Density Matrices and Density Functionals. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3855-7.

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Danos, Michael. Irreducible density matrices. Gaithersburg, MD: U.S. Dept. of Commerce, National Bureau of Standards, 1985.

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Danos, Michael. Irreducible density matrices. Gaithersburg, MD: U.S. Dept. of Commerce, National Bureau of Standards, 1985.

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Coleman, A. John, and Vyacheslav I. Yukalov. Reduced Density Matrices. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-58304-9.

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Blum, Karl. Density matrix theory and applications. 2nd ed. New York: Plenum Press, 1996.

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6

Cioslowski, Jerzy, ed. Many-Electron Densities and Reduced Density Matrices. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4211-7.

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Jerzy, Cioslowski, ed. Many-electron densities and reduced density matrices. New York: Kluwer Academic/Plenum Publishers, 2000.

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Blum, Karl. Density matrix theory and applications. 3rd ed. Heidelberg: Springer, 2012.

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9

Raynal, Ph. Unambiguous state discrimination of two density matrices in quantum information theory. Erlangen: Lehrstuhl für Mikrocharakterisierung, Friedrich-Alexander-Universität Erlangen-Nürnberg, 2008.

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1942-, Peschel Ingo, ed. Density-matrix renormalization: A new numerical method in physics : lectures of a seminar and workshop held at the Max-Planck-Institut für Physik komplexer Systeme, Dresden, Germany, August 24th to September 18th, 1998. Berlin: Springer, 1999.

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Book chapters on the topic "Density matrices"

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Gustafson, Stephen J., and Israel Michael Sigal. "Density Matrices." In Mathematical Concepts of Quantum Mechanics, 95–114. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55729-3_9.

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Bartschat, Klaus. "Density Matrices." In Springer Handbook of Atomic, Molecular, and Optical Physics, 123–33. New York, NY: Springer New York, 2006. http://dx.doi.org/10.1007/978-0-387-26308-3_7.

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Surján, Péter R. "Density Matrices." In Second Quantized Approach to Quantum Chemistry, 46–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74755-7_7.

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Hecht, K. T. "Density Matrices." In Quantum Mechanics, 522–28. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-1272-0_55.

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Bartschat, Klaus. "Density Matrices." In Springer Handbook of Atomic, Molecular, and Optical Physics, 119–29. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-73893-8_7.

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Ruskai, Mary Beth. "Entropy of Reduced Density Matrices." In Density Matrices and Density Functionals, 213–29. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3855-7_11.

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Coleman, A. J. "Reduced Density Matrices: 1929–1989." In Density Matrices and Density Functionals, 5–20. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3855-7_2.

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Löwdin, P. O. "A Tribute to A. John Coleman — The “Tame” Mathematician." In Density Matrices and Density Functionals, 1–4. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3855-7_1.

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Percus, J. K. "Griffiths Inequalities for Fermion Systems." In Density Matrices and Density Functionals, 193–212. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3855-7_10.

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Rosina, M., B. Golli, and R. M. Erdahl. "A Lower Bound to the Ground State Energy of a Boson System with Fermion Source." In Density Matrices and Density Functionals, 231–48. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3855-7_12.

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Conference papers on the topic "Density matrices"

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Meyer, Francois, and Martha Lewis. "Modelling Lexical Ambiguity with Density Matrices." In Proceedings of the 24th Conference on Computational Natural Language Learning. Stroudsburg, PA, USA: Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.conll-1.21.

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Bartlett, R. J., G. Fagas, J. C. Greer, Theodore E. Simos, and George Maroulis. "Reduced Density Matrices in Quantum Electronic Transport." In COMPUTATIONAL METHODS IN SCIENCE AND ENGINEERING: Theory and Computation: Old Problems and New Challenges. Lectures Presented at the International Conference on Computational Methods in Science and Engineering 2007 (ICCMSE 2007): VOLUME 1. AIP, 2007. http://dx.doi.org/10.1063/1.2836120.

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Bustos-Brinez, Oscar, Joseph Gallego, and Fabio Gonzalez. "Anomaly Detection through Density Matrices and Kernel Density Estimation (AD-DMKDE)." In LatinX in AI at Neural Information Processing Systems Conference 2022. Journal of LatinX in AI Research, 2022. http://dx.doi.org/10.52591/lxai2022112810.

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This paper presents a novel anomaly detection method, called AD-DMKDE, based on the use of Kernel Density Estimation (KDE) along with density matrices (a powerful mathematical formalism from quantum mechanics) and Fourier features. The proposed method was systematically compared with eleven state-of-the-art anomaly detection methods on various data sets, and AD-DMKDE shows competitive performance. The method uses neural-network optimization to find the parameters of data embedding, and the prediction phase complexity of the proposed algorithm is constant relative to the training data size.
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Zhou, Hongchao, Venkat Chandar, and Gregory Wornell. "Low-density random matrices for secret key extraction." In 2013 IEEE International Symposium on Information Theory (ISIT). IEEE, 2013. http://dx.doi.org/10.1109/isit.2013.6620698.

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Neukirchen, Christoph. "Semi-tied full deviation matrices for laplacian density models." In 8th European Conference on Speech Communication and Technology (Eurospeech 2003). ISCA: ISCA, 2003. http://dx.doi.org/10.21437/eurospeech.2003-700.

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Shin, Seungshik, Sang-Yun Shin, Min Jang, and Sang-Hyo Kim. "Bayesian compressive sensing with polar-distributed low-density sensing matrices." In TENCON 2012 - 2012 IEEE Region 10 Conference. IEEE, 2012. http://dx.doi.org/10.1109/tencon.2012.6412333.

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Ramalli, Alessandro, and Piero Tortoli. "256-element density-tapered spiral matrices for ultrasound phased imaging." In 2014 IEEE International Ultrasonics Symposium (IUS). IEEE, 2014. http://dx.doi.org/10.1109/ultsym.2014.0520.

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Muramatsu, J., T. Uyematsu, and T. Wadayama. "Low density parity check matrices for coding of correlated sources." In IEEE International Symposium on Information Theory, 2003. Proceedings. IEEE, 2003. http://dx.doi.org/10.1109/isit.2003.1228187.

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Andersson, Ole, and Hoshang Heydari. "Motion in bundles of purifications over spaces of isospectral density matrices." In QUANTUM THEORY: RECONSIDERATION OF FOUNDATIONS 6. AIP, 2012. http://dx.doi.org/10.1063/1.4773146.

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Matsuta, Tetsunao, Tomohiko Uyematsu, and Ryutaroh Matsumoto. "Universal Slepian-Wolf source codes using low-density parity-check matrices." In 2010 IEEE International Symposium on Information Theory - ISIT. IEEE, 2010. http://dx.doi.org/10.1109/isit.2010.5513253.

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Reports on the topic "Density matrices"

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Danos, Michael. Irreducible density matrices. Gaithersburg, MD: National Bureau of Standards, 1985. http://dx.doi.org/10.6028/nbs.ir.85-3270.

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Quah, Danny, and Takatoshi Ito. Estimation and Hypothesis Testing with Restricted Spectral Density Matrices: An Application to Uncovered Interest Parity. Cambridge, MA: National Bureau of Economic Research, September 1989. http://dx.doi.org/10.3386/t0050.

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