Relevant bibliographies by topics / Quantum Processing

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  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: 28 July 2025

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Journal articles on the topic "Quantum Processing"

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Johnson, Sarah L. "Quantum Machine Learning Algorithms for Big Data Processing." International Journal of Innovative Computer Science and IT Research 1, no. 02 (2025): 1–11. https://doi.org/10.63665/ijicsitr.v1i02.04.

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Quantum Machine Learning (QML) is a new discipline that unites artificial intelligence and quantum computing and can address computational problems of big data analysis. Traditional machine learning algorithms may be pushed to their limits in dealing with the increased complexity and scale of today's data sets and thus are unable to find useful insights within a reasonable time frame. Quantum computing, capable of tapping quantum mechanical processes like superposition and entanglement, is capable of turning this field upside down. In this paper, the concepts behind quantum computing are discu
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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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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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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 fun
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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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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 fr
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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 devel
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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
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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 (
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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
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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
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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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Gerd, Leuchs, and Beth Thomas 1949-, eds. Quantum information processing. Wiley-VCH, 2003.

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

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Bhattacharyya, Siddhartha, Ivan Cruz-Aceves, Arpan Deyasi, Pampa Debnath, and Rajarshi Mahapatra. Intelligent Quantum Information Processing. CRC Press, 2024. http://dx.doi.org/10.1201/9781003373117.

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

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Book chapters on the topic "Quantum Processing"

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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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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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Saleh, Bahaa E. A. "QUANTUM INFORMATION PROCESSING." In Graduate Texts in Physics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-89121-2_5.

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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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Conference papers on the topic "Quantum Processing"

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Low, Guang Hao, and Yuan Su. "Quantum Eigenvalue Processing." In 2024 IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS). IEEE, 2024. http://dx.doi.org/10.1109/focs61266.2024.00070.

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Garcia-Beni, Jorge, Gian Luca Giorgi, Miguel C. Soriano, and Roberta Zambrini. "Quantum reservoir computing for time series processing." In Quantum Communications and Quantum Imaging XXII, edited by Keith S. Deacon and Ronald E. Meyers. SPIE, 2024. http://dx.doi.org/10.1117/12.3027999.

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Lyasota, Alexey, Ian R. Berkman, Gabriele G. de Boo, et al. "Er sites in Si for quantum information processing." In Quantum 2.0. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/quantum.2024.qth2a.6.

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We report on Er sites in 28Si with millisecond spin coherence (extended to 40 ms using Alternating-Phase-CPMG sequence), homogeneous and inhomogeneous broadening below 100 kHz and 100 MHz. These results are promising for future quantum applications.
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Nguyen, Huy Q., Hou-Man Chin, Adnan A. E. Hajomer, Ulrik L. Andersen, and Tobias Gehring. "Towards practical squeezed light distribution with digital signal processing." In Quantum 2.0. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/quantum.2024.qth3a.41.

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We propose and experimentally demonstrate a method for recovering squeezed light after detection with a free-running receiver station. We achieve approximately 1 dB of squeezing without the need for pre-aligning polarization or locking frequency and phase.
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Fyrillas, Andreas, Olivier Faure, Nicolas Maring, Jean Senellart, and Nadia Belabas. "High-Fidelity Quantum Information Processing with Machine Learning-Characterized Photonic Circuits." In Quantum 2.0. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/quantum.2024.qw4a.1.

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Photonic integrated circuits (PICs) are attractive platforms for manipulating quantum light. Imperfections limit the fidelity of photonically integrated quantum information protocols. We use machine learning and a clear box approach to characterize large PICs and mitigate imperfections, achieving high-fidelity for scalable implementations.
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Okuno, Daichi, and Shuntaro Takeda. "Continuous-variable optical quantum information processing with non-Gaussian states in the time domain." In Quantum Communications and Quantum Imaging XXII, edited by Keith S. Deacon and Ronald E. Meyers. SPIE, 2024. http://dx.doi.org/10.1117/12.3027055.

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Teo, Y. S., S. U. Shringarpure, H. Jeong, et al. "Evidence-Based Quantum-Information Processing: Applications on Photonic Quantum Systems." In 2024 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR). IEEE, 2024. http://dx.doi.org/10.1109/cleo-pr60912.2024.10676859.

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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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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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