Relevant bibliographies by topics / Quantum Processing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Quantum Processing'

Author: Grafiati
Published: 9 March 2023
Last updated: 10 March 2023

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Journal articles on the topic "Quantum Processing"

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Ahlswede, R., and P. Lober. "Quantum data processing." IEEE Transactions on Information Theory 47, no. 1 (2001): 474–78. http://dx.doi.org/10.1109/18.904565.

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Eldar, Y. C., and A. V. Oppenheim. "Quantum signal processing." IEEE Signal Processing Magazine 19, no. 6 (2002): 12–32. http://dx.doi.org/10.1109/msp.2002.1043298.

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Ferry, D. K., R. Akis, and J. Harris. "Quantum wave processing." Superlattices and Microstructures 30, no. 2 (2001): 81–94. http://dx.doi.org/10.1006/spmi.2001.0998.

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Nagy, Marius, and Naya Nagy. "Image processing: why quantum?" Quantum Information and Computation 20, no. 7&8 (2020): 616–26. http://dx.doi.org/10.26421/qic20.7-8-6.

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Quantum Image Processing has exploded in recent years with dozens of papers trying to take advantage of quantum parallelism in order to offer a better alternative to how current computers are dealing with digital images. The vast majority of these papers define or make use of quantum representations based on very large superposition states spanning as many terms as there are pixels in the image they try to represent. While such a representation may apparently offer an advantage in terms of space (number of qubits used) and speed of processing (due to quantum parallelism), it also harbors a fundamental flaw: only one pixel can be recovered from the quantum representation of the entire image, and even that one is obtained non-deterministically through a measurement operation applied on the superposition state. We investigate in detail this measurement bottleneck problem by looking at the number of copies of the quantum representation that are necessary in order to recover various fractions of the original image. The results clearly show that any potential advantage a quantum representation might bring with respect to a classical one is paid for dearly with the huge amount of resources (space and time) required by a quantum approach to image processing.
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Qiang, Xiaogang, Xiaoqi Zhou, Kanin Aungskunsiri, Hugo Cable, and Jeremy L. O’Brien. "Quantum processing by remote quantum control." Quantum Science and Technology 2, no. 4 (2017): 045002. http://dx.doi.org/10.1088/2058-9565/aa78d6.

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Cirac, J. I., L. M. Duan, D. Jaksch, and P. Zoller. "Quantum Information Processing with Quantum Optics." Annales Henri Poincaré 4, S2 (2003): 759–81. http://dx.doi.org/10.1007/s00023-003-0960-8.

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TAKEOKA, Masahiro, and Masahide SASAKI. "Introduction to Optical Quantum Information Processing 3. Quantum Information Processing Protocols and Quantum Computation." Review of Laser Engineering 33, no. 1 (2005): 57–61. http://dx.doi.org/10.2184/lsj.33.57.

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KIM, Jaewan. "Quantum Physics and Information Processing: Quantum Computers." Physics and High Technology 21, no. 12 (2012): 21. http://dx.doi.org/10.3938/phit.21.052.

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Benhelm, J., G. Kirchmair, R. Gerritsma, et al. "Ca+quantum bits for quantum information processing." Physica Scripta T137 (December 2009): 014008. http://dx.doi.org/10.1088/0031-8949/2009/t137/014008.

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Benincasa, Dionigi M. T., Leron Borsten, Michel Buck, and Fay Dowker. "Quantum information processing and relativistic quantum fields." Classical and Quantum Gravity 31, no. 7 (2014): 075007. http://dx.doi.org/10.1088/0264-9381/31/7/075007.

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Dissertations / Theses on the topic "Quantum Processing"

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Eldar, Yonina Chana 1973. "Quantum signal processing." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/16805.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2002.<br>Includes bibliographical references (p. 337-346).<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Quantum signal processing (QSP) as formulated in this thesis, borrows from the formalism and principles of quantum mechanics and some of its interesting axioms and constraints, leading to a novel paradigm for signal processing with applications in areas ranging from frame theory, quantization and sampling methods to detection, parameter estimation, covariance shaping and multiuser wireless communication systems. The QSP framework is aimed at developing new or modifying existing signal processing algorithms by drawing a parallel between quantum mechanical measurements and signal processing algorithms, and by exploiting the rich mathematical structure of quantum mechanics, but not requiring a physical implementation based on quantum mechanics. This framework provides a unifying conceptual structure for a variety of traditional processing techniques, and a precise mathematical setting for developing generalizations and extensions of algorithms. Emulating the probabilistic nature of quantum mechanics in the QSP framework gives rise to probabilistic and randomized algorithms. As an example we introduce a probabilistic quantizer and derive its statistical properties. Exploiting the concept of generalized quantum measurements we develop frame-theoretical analogues of various quantum-mechanical concepts and results, as well as new classes of frames including oblique frame expansions, that are then applied to the development of a general framework for sampling in arbitrary spaces. Building upon the problem of optimal quantum measurement design, we develop and discuss applications of optimal methods that construct a set of vectors.<br>(cont.) We demonstrate that, even for problems without inherent inner product constraints, imposing such constraints in combination with least-squares inner product shaping leads to interesting processing techniques that often exhibit improved performance over traditional methods. In particular, we formulate a new viewpoint toward matched filter detection that leads to the notion of minimum mean-squared error covariance shaping. Using this concept we develop an effective linear estimator for the unknown parameters in a linear model, referred to as the covariance shaping least-squares estimator. Applying this estimator to a multiuser wireless setting, we derive an efficient covariance shaping multiuser receiver for suppressing interference in multiuser communication systems.<br>by Yonina Chana Eldar.<br>Ph.D.
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Venegas-Andraca, Salvador Elías. "Discrete quantum walks and quantum image processing." Thesis, University of Oxford, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.427612.

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In this thesis we have focused on two topics: Discrete Quantum Walks and Quantum Image Processing. Our work is a contribution within the field of quantum computation from the perspective of a computer scientist. With the purpose of finding new techniques to develop quantum algorithms, there has been an increasing interest in studying Quantum Walks, the quantum counterparts of classical random walks. Our work in quantum walks begins with a critical and comprehensive assessment of those elements of classical random walks and discrete quantum walks on undirected graphs relevant to algorithm development. We propose a model of discrete quantum walks on an infinite line using pairs of quantum coins under different degrees of entanglement, as well as quantum walkers in different initial state configurations, including superpositions of corresponding basis states. We have found that the probability distributions of such quantum walks have particular forms which are different from the probability distributions of classical random walks. Also, our numerical results show that the symmetry properties of quantum walks with entangled coins have a non-trivial relationship with corresponding initial states and evolution operators. In addition, we have studied the properties of the entanglement generated between walkers, in a family of discrete Hadamard quantum walks on an infinite line with one coin and two walkers. We have found that there is indeed a relation between the amount of entanglement available in each step of the quantum walk and the symmetry of the initial coin state. However, as we show with our numerical simulations, such a relation is not straightforward and, in fact, it can be counterintuitive. Quantum Image Processing is a blend of two fields: quantum computation and image processing. Our aim has been to promote cross-fertilisation and to explore how ideas from quantum computation could be used to develop image processing algorithms. Firstly, we propose methods for storing and retrieving images using non-entangled and entangled qubits. Secondly, we study a case in which 4 different values are randomly stored in a single qubit, and show that quantum mechanical properties can, in certain cases, allow better reproduction of original stored values compared with classical methods. Finally, we briefly note that entanglement may be used as a computational resource to perform hardware-based pattern recognition of geometrical shapes that would otherwise require classical hardware and software.
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Chan, Ka Ho Adrian. "Quantum information processing with semiconductor quantum dots." Thesis, University of Cambridge, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648684.

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Xu, Xiulai. "InAs quantum dots for quantum information processing." Thesis, University of Cambridge, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.615012.

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Close, Tom A. "Robust quantum phenomena for quantum information processing." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:95324cad-e44b-4bd8-b6e1-173753959993.

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This thesis is concerned with finding technologically useful quantum phenomena that are robust against real world imperfections. We examine three different areas covering techniques for spin measurement, photon preparation and error correction. The first research chapter presents a robust spin-measurement procedure, using an amplification approach: the state of the spin is propagated over a two-dimensional array to a point where it can be measured using standard macroscopic state mea- surement techniques. Even in the presence of decoherence, our two-dimensional scheme allows a linear growth in the total spin polarisation - an important increase over the √t obtainable in one-dimension. The work is an example of how simple propagation rules can lead to predictable macroscopic behaviour and the techniques should be applicable in other state propagation schemes. The next chapter is concerned with strategies for obtaining a robust and reliable single photon source. Using a microscopic model of electron-phonon interactions and a quantum master equation, we examine phonon-induced decoherence and assess its impact on the rate of production, and indistinguishability, of single photons emitted from an optically driven quantum dot system. We find that, above a certain threshold of desired indistinguishability, it is possible to mitigate the deleterious effects of phonons by exploiting a three-level Raman process for photon production. We introduce a master equation technique for quantum jump situations that should have wide application in other situations. The final chapter focusses on toric error correcting codes. Toric codes form part of the class of surface codes that have attracted a lot of attention due to their ability to tolerate a high level of errors, using only local operations. We investigate the power of small scale toric codes and determine the minimum size of code necessary for a first experimental demonstration of toric coding power.
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Rossini, Davide. "Quantum information processing and Quantum spin systems." Doctoral thesis, Scuola Normale Superiore, 2007. http://hdl.handle.net/11384/85856.

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Hutton, Alexander. "Networked quantum information processing." Thesis, University of Oxford, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.403741.

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Santagati. "Towards quantum information processing in silicon quantum photonics." Thesis, University of Bristol, 2016. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.691181.

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After Feynman's proposal, in 1982, to simulate quantum systems using quantum computers, much effort has been focused on the study and realisation of machines capable of harnessing the power of quantum mechanics for simulation and computation. Many difFerent implementations have been proposed for the realisation of quantum technologies, all with their advantages and disadvantages. Integrated silicon photonics recently emerged as a promising approach: in fact all the necessary components for quantum computation can be integrated together on a silicon chip. In addition, the information carriers (photons) have very long coherence times and can be manipulated in an intrinsically phase-stable manner. The realisation of quantum photonic technologies is tied to the existence of a high efficiency single photon source (ideally on-demand). One of the possible solutions is in the multiplexing of many probabilistic photon pair sources. In this thesis we present four different quantum photonics experiments. We show the integration in a silicon quantum photonics platform of fundamental components for the implementation of any quantum information processing. We show that with our approach we can obtain high fidelity quantum states and high levels of entanglement. Furthermore, we also demonstrate the implementation of a hybrid (time and space) multiplexed single photon source in bulk optics.
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Le, Jeannic Hanna. "Optical Hybrid Quantum Information processing." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066596/document.

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Approche hybride du traitement quantique de l'information La dualité onde-particule a conduit à deux façons d'encoder l'information quantique, les approches continues et discrètes. L'approche hybride a récemment émergé, et consiste à utiliser les concepts et boites à outils des deux approches, afin de venir à bout des limitations intrinsèques à chaque champ. Dans ce travail de thèse, nous allons dans une première partie utiliser des protocoles hybrides de façon à générer des états quantiques non-gaussiens de la lumière. A l'aide d'oscillateurs paramétriques optiques, et de détecteur de photons supraconducteurs, nous pouvons générer des photons uniques extrêmement purs très efficacement, ainsi que des états chats de Schrödinger, qui permettent d'encoder l'information en variables continues. Nous montrons également en quoi des opérations de variables continues peuvent aider cette génération. La méthode utilisée, basée sur la génération " d'états-noyaux " rend en outre ces états plus robustes à la décohérence. Dans une seconde partie, dans le contexte d'un réseau hétérogène, basé sur différents encodages, relier de façon quantique les deux mondes, nécessite l'existence d'intrication hybride de la lumière. Nous introduisons la notion d'intrication hybride, entre des états continus et discrets, et nous en montrons une première application qui est la génération à distance de bit quantique continu. Nous implémentons ainsi également une plateforme polyvalente permettant la génération d'états " micro-macro " intriqués<br>In quantum information science and technology, two traditionally-separated ways of encoding information coexist -the continuous and the discrete approaches, resulting from the wave-particle duality of light. The first one is based on quadrature components, while the second one involves single photons. The recent optical hybrid approach aims at using both discrete and continuous concepts and toolboxes to overcome the intrinsic limitations of each field. In this PhD work, first, we use hybrid protocols in order to realize the quantum state engineering of various non-Gaussian states of light. Based on optical parametric oscillators and highly-efficient superconducting-nanowire single-photon detectors, we demonstrate the realization of a high-brightness single-photon source and the quantum state engineering of large optical Schrödinger cat states, which can be used as a continuous-variable qubit. We show how continuous-variable operations such as squeezing can help in this generation. This method based on so-called core states also enables to generate cat states that are more robust to decoherence. Second, in the context of heterogeneous networks based on both encodings, bridging the two worlds by a quantum link requires hybrid entanglement of light. We introduce optical hybrid entanglement between qubits and qutrits of continuous and discrete types, and demonstrate as a first application the remote state preparation of continuous-variable qubits. Our experiment is also a versatile platform to study squeezing-induced micro-macro entanglement
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Reina, Estupin̄án John-Henry. "Quantum information processing in nanostructures." Thesis, University of Oxford, 2002. http://ora.ox.ac.uk/objects/uuid:6375c7c4-ecf6-4e88-a0f5-ff7493393d37.

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Since information has been regarded as a physical entity, the field of quantum information theory has blossomed. This brings novel applications, such as quantum computation. This field has attracted the attention of numerous researchers with backgrounds ranging from computer science, mathematics and engineering, to the physical sciences. Thus, we now have an interdisciplinary field where great efforts are being made in order to build devices that should allow for the processing of information at a quantum level, and also in the understanding of the complex structure of some physical processes at a more basic level. This thesis is devoted to the theoretical study of structures at the nanometer-scale, "nanostructures," through physical processes that mainly involve the solid-state and quantum optics, in order to propose reliable schemes for the processing of quantum information. Initially, the main results of quantum information theory and quantum computation are briefly reviewed. Next, the state-of-the-art of quantum dots technology is described. In so doing, the theoretical background and the practicalities required for this thesis are introduced. A discussion of the current quantum hardware used for quantum information processing is given. In particular, the solid-state proposals to date are emphasised. A detailed prescription is given, using an optically-driven coupled quantum dot system, to reliably prepare and manipulate exciton maximally entangled Bell and Greenberger-Horne-Zeilinger (GHZ) states. Manipulation of the strength and duration of selective light-pulses needed for producing these highly entangled states provides us with crucial elements for the processing of solid-state based quantum information. The all-optical generation of states of the so-called Bell basis for a system of two quantum dots (QDs) is exploited for performing the quantum teleportation of the excitonic state of a dot in an array of three coupled QDs. Theoretical predictions suggest that several hundred single quantum bit rotations and controlled-NOT gates could be performed before decoherence of the excitonic states takes place. In addition, the exciton coherent dynamics of a coupled QD system confined within a semiconductor single mode microcavity is reported. It is shown that this system enables the control of exciton entanglement by varying the coupling strength between the optically-driven dot system and the microcavity. The exciton entanglement shows collapses and revivals for suitable amplitudes of the incident radiation field and dot-cavity coupling strengths. The results given here could offer a new approach for the control of decoherence mechanisms arising from entangled "artificial molecules." In addition to these ultrafast coherent optical control proposals, an approach for reliable implementation of quantum logic gates and long decoherence times in a QD system based on nuclear magnetic resonance (NMR) is given, where the nuclear resonance is controlled by the ground state "magic number" transitions of few-electron QDs in an external magnetic field. The dynamical evolution of quantum registers of arbitrary length in the presence of environmentally-induced decoherence effects is studied in detail. The cases of quantum bits (qubits) coupling individually to different environments ("independent decoherence"), and qubits interacting collectively with the same reservoir ("collective decoherence") are analysed in order to find explicit decoherence functions for any number of qubits. The decay of the coherences of the register is shown to strongly depend on the input states: this sensitivity is a characteristic of both types of coupling (collective and independent) and not only of the collective coupling, as has been reported previously. A non-trivial behaviour - "recoherence" - is found in the decay of the off-diagonal elements of the reduced density matrix in the specific situation of independent decoherence. The results lead to the identification of decoherence-free states in the collective decoherence limit. These states belong to subspaces of the system's Hilbert space that do not become entangled with the environment, making them ideal elements for the engineering of "noiseless" quantum codes. The relations between decoherence of the quantum register and computational complexity based on the new dynamical results obtained for the register density matrix are also discussed. This thesis concludes by summarising and pointing out future directions, and in particular, by discussing some biological resonant energy transfer processes that may be useful for the processing of information at a quantum level.
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Books on the topic "Quantum Processing"

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Bergou, János A., Mark Hillery, and Mark Saffman. Quantum Information Processing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75436-5.

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Leuchs, Gerd, and Thomas Beth, eds. Quantum Information Processing. Wiley-VCH Verlag GmbH & Co. KGaA, 2003. http://dx.doi.org/10.1002/3527603549.

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Yan, Fei, and Salvador E. Venegas-Andraca. Quantum Image Processing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-32-9331-1.

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1949-, Beth Thomas, and Leuchs Gerd, eds. Quantum information processing. 2nd ed. Wiley-VCH, 2005.

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Gerd, Leuchs, and Beth Thomas 1949-, eds. Quantum information processing. Wiley-VCH, 2003.

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Arnon-Friedman, Rotem. Device-Independent Quantum Information Processing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60231-4.

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Schütz, Martin J. A. Quantum Dots for Quantum Information Processing: Controlling and Exploiting the Quantum Dot Environment. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-48559-1.

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W, Lovett Brendon, ed. Introduction to optical quantum information processing. Cambridge University Press, 2010.

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Tomamichel, Marco. Quantum Information Processing with Finite Resources. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21891-5.

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Computational quantum chemistry. Wiley, 1988.

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Book chapters on the topic "Quantum Processing"

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Kommadi, Bhagvan. "Quantum Data Processing." In Quantum Computing Solutions. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6516-1_10.

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Majumdar, Ritajit. "Quantum Information Processing." In Quantum Computing Environments. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89746-8_1.

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Parthasarathy, Harish. "Quantum Signal Processing." In Advanced Probability and Statistics: Applications to Physics and Engineering. CRC Press, 2022. http://dx.doi.org/10.1201/9781003345060-12.

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Gan, Woon Siong. "Quantum Image Processing." In Quantum Acoustical Imaging. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0983-2_13.

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Beth, Th, M. Grassl, D. Janzing, M. Rötteler, P. Wocjan, and R. Zeier. "Algorithms for Quantum Systems - Quantum Algorithms." In Quantum Information Processing. Wiley-VCH Verlag GmbH & Co. KGaA, 2005. http://dx.doi.org/10.1002/3527606009.ch1.

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Blick, R. H., A. K. Hüttel, A. W. Holleitner, L. Pescini, and H. Lorenz. "Quantum Dot Circuits for Quantum Computation." In Quantum Information Processing. Wiley-VCH Verlag GmbH & Co. KGaA, 2005. http://dx.doi.org/10.1002/3527606009.ch26.

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Beth, Th, M. Grassl, D. Janzing, M. Rötteler, P. Wocjan, and R. Zeier. "Algorithms for Quantum Systems - Quantum Algorithms." In Quantum Information Processing. Wiley-VCH Verlag GmbH & Co. KGaA, 2005. http://dx.doi.org/10.1002/3527603549.ch1.

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Blick, R. H., A. K. Hüttel, A. W. Holleitner, L. Pescini, and H. Lorenz. "Quantum Dot Circuits for Quantum Computation." In Quantum Information Processing. Wiley-VCH Verlag GmbH & Co. KGaA, 2005. http://dx.doi.org/10.1002/3527603549.ch23.

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Orszag, Miguel. "Quantum Cloning and Processing." In Quantum Optics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29037-9_23.

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Bez, Helmut, and Tony Croft. "Quantum information processing 3." In Quantum Computation. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003264569-20.

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Conference papers on the topic "Quantum Processing"

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Furusawa, Akira. "Quantum teleportation and quantum information processing." In Laser Science. OSA, 2010. http://dx.doi.org/10.1364/ls.2010.lthe1.

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Kimble, H. J. "Quantum information processing in quantum optics." In MYSTERIES, PUZZLES AND PARADOXES IN QUANTUM MECHANICS. ASCE, 1999. http://dx.doi.org/10.1063/1.57852.

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Furusawa, Akira, Timothy Ralph, and Ping Koy Lam. "Quantum teleportation and quantum information processing." In QUANTUM COMMUNICATION, MEASUREMENT AND COMPUTING (QCMC): The Tenth International Conference. AIP, 2011. http://dx.doi.org/10.1063/1.3630188.

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Furusawa, Akira. "Quantum Teleportation and Quantum Information Processing." In Quantum Electronics and Laser Science Conference. OSA, 2010. http://dx.doi.org/10.1364/qels.2010.qtha1.

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Saleh, Bahaa A. "Quantum image processing." In Signal Recovery and Synthesis. OSA, 2001. http://dx.doi.org/10.1364/srs.2001.sma1.

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Ogawa, Hisashi, Takahiro Serikawa, Yu Shiozawa, et al. "Optical quantum information processing and storage." In Quantum Communications and Quantum Imaging XVI, edited by Ronald E. Meyers, Yanhua Shih, and Keith S. Deacon. SPIE, 2018. http://dx.doi.org/10.1117/12.2320476.

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Roussel, Benjamin, Clément Cabart, and Pascal Degiovanni. "Quantum signal processing for electron quantum optics." In Quantum Information and Measurement. OSA, 2017. http://dx.doi.org/10.1364/qim.2017.qw5a.1.

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Xiulai Xu, D. A. Williams, J. R. A. Cleaver, Debao Zhou, and C. Stanley. "InAs quantum dots for quantum information processing." In 2004 13th International Conference on Semiconducting and Insulating Materials. IEEE, 2004. http://dx.doi.org/10.1109/sim.2005.1511396.

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Nichol, John. "Quantum information processing with semiconductor quantum dots." In 2022 6th IEEE Electron Devices Technology & Manufacturing Conference (EDTM). IEEE, 2022. http://dx.doi.org/10.1109/edtm53872.2022.9798200.

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Meerholz, K. "Optimization of Photorefractive Polymers for Optical Processing." In Quantum Optoelectronics. Optica Publishing Group, 1997. http://dx.doi.org/10.1364/qo.1997.qfc.3.

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Photorefractive materials have many potential photonic applications, including dynamic holographic storage and image processing. Recently, the new class of amorphous organic photorefractive materials has emerged, offering wide structural flexibility, easy processability, and low cost at very high performance levels. Progress in this field has led to absorption-limited complete diffraction for the readout of a hologram stored in materials of only 100-150 μm thickness and to extremely large net gain coefficients of more than 200 cm−1 compared to 40-50 cm−1 in the best inorganic photorefractive crystals known to date. These excellent properties occur in materials with low glass transition temperatures and result from refractive index modulations as large as Δn ≈ 10-2, mostly originating from a Kerr-type orientational birefringence rather than the electro-optic effect as in traditional photorefractive crystals. The materials can be adjusted for photorefractivity over the entire visible spectrum and in the near infrared. The sensitivity is excellent enabling the use of low-power laser sources, such as HeNe laser or laser diodes.
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Reports on the topic "Quantum Processing"

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Vazirani, Umesh, Christos Papadimitriou, and Alistair Sinclair. Quantum Information Processing. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada428699.

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DiVincenzo, David P., and Charles H. Bennett. Quantum Information Processing. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada414217.

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Levy, Jeremy, Hrvoje Petek, Hong K. Kim, and Sanford Asher. Quantum Information Processing with Ferroelectrically Coupled Quantum Dots. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada545675.

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Girolami, Davide. Quantum Resources for Information Processing. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1489935.

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Girolami, Davide. Quantum Resources for Information Processing. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1489936.

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Cory, David G., and Chandrasekhar Ramanathan. Electron-Nuclear Quantum Information Processing. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada499318.

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Girolami, Davide. Quantum Resources for Information Processing. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1498025.

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Vuckovic, Jelena. Quantum Dot-Photonic Crystal Cavity QED Based Quantum Information Processing. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada576255.

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Girolami, Davide. Quantum Resources for Noisy Information Processing. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1512715.

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Girolami, Davide. Quantum Resources for Noisy Information Processing. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1557172.

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