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Journal articles on the topic 'Quantum Optics and Quantum Information'

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Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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1

Kilin, S. Ya. "Quantum optics and quantum information." Optics and Spectroscopy 91, no. 3 (September 2001): 325–26. http://dx.doi.org/10.1134/1.1405207.

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2

Kilin, S. Ya. "Quantum optics and quantum information technologies." Optics and Spectroscopy 103, no. 1 (July 2007): 1–6. http://dx.doi.org/10.1134/s0030400x07070016.

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3

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

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4

Tao Li, Tao Li, Mingyang Li Mingyang Li, and and Junming Huang and Junming Huang. "Quantum Fisher information of triphoton states." Chinese Optics Letters 14, no. 3 (2016): 032701–32705. http://dx.doi.org/10.3788/col201614.032701.

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5

Blais, Alexandre, Steven M. Girvin, and William D. Oliver. "Quantum information processing and quantum optics with circuit quantum electrodynamics." Nature Physics 16, no. 3 (March 2020): 247–56. http://dx.doi.org/10.1038/s41567-020-0806-z.

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6

Man’ko, Margarita A. "Hidden correlations in quantum optics and quantum information." Journal of Physics: Conference Series 1071 (August 2018): 012015. http://dx.doi.org/10.1088/1742-6596/1071/1/012015.

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7

Dumke, Rainer, Tobias Müther, Michael Volk, Wolfgang Ertmer, and Gerhard Birkl. "Quantum Information: Micro-Optics Advances Quantum Computing and Integrated Atom Optics." Optics and Photonics News 14, no. 12 (December 1, 2003): 38. http://dx.doi.org/10.1364/opn.14.12.000038.

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8

Castaños, Octavio, and Margarita A. Man’ko. "Cold matter, quantum optics, and quantum information in Mexico." Physica Scripta 90, no. 6 (May 13, 2015): 060302. http://dx.doi.org/10.1088/0031-8949/90/6/060302.

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9

Hradil, Zdeněk, Jaroslav Řeháček, Luis Sánchez-Soto, and Berthold-Georg Englert. "Quantum Fisher information with coherence." Optica 6, no. 11 (November 14, 2019): 1437. http://dx.doi.org/10.1364/optica.6.001437.

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10

Bessler, Paul. "Some Macroscopic Applications of Georgiev’s Quantum Information Model." NeuroQuantology 17, no. 7 (July 25, 2019): 29–35. http://dx.doi.org/10.14704/nq.2019.17.7.2700.

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11

Bennett, Charles H. "Quantum Information." Physica Scripta T76, no. 1 (1998): 210. http://dx.doi.org/10.1238/physica.topical.076a00210.

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12

Gisin, Nicolas, Sébastien Tanzilli, Wolfgang Tittel, Matthäus Halder, Olivier Alibart, Pascal Baldi, Hugo Zbinden, et al. "Quantum Information." Optics and Photonics News 16, no. 12 (December 1, 2005): 40. http://dx.doi.org/10.1364/opn.16.12.000040.

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13

Shih, Yanhua. "QUANTUM INFORMATION Quantum imaging, quantum lithography and the uncertainty principle." Journal of Modern Optics 49, no. 14-15 (November 2002): 2275–87. http://dx.doi.org/10.1080/0950034021000011310.

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14

Martini, F. De, L. Masullo, M. Ricci, F. Sciarrino, and V. Secondi. "Manipulating quantum information via quantum cloning." Journal of Optics B: Quantum and Semiclassical Optics 7, no. 12 (November 22, 2005): S664—S671. http://dx.doi.org/10.1088/1464-4266/7/12/032.

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15

Gisin, N., I. Marcikic, H. de Riedmatten, W. Tittel, and H. Zbinden. "Quantum Information: Long Distance Quantum Teleportation." Optics and Photonics News 14, no. 12 (December 1, 2003): 39. http://dx.doi.org/10.1364/opn.14.12.000039.

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16

Simon, David S., Gregg Jaeger, and Alexander V. Sergienko. "Quantum information in communication and imaging." International Journal of Quantum Information 12, no. 04 (June 2014): 1430004. http://dx.doi.org/10.1142/s0219749914300046.

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A brief introduction to quantum information theory in the context of quantum optics is presented. After presenting the fundamental theoretical basis of the subject, experimental evaluation of entanglement measures are discussed, followed by applications to communication and imaging.
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17

Morigi, Giovanna, Andrew Jordan, and Philippe Grangier. "Quantum Optical Information Technologies." Journal of the Optical Society of America B 27, no. 6 (June 1, 2010): A233. http://dx.doi.org/10.1364/josab.27.00a233.

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18

Morigi, Giovanna, Andrew Jordan, and Philippe Grangier. "Quantum Optical Information Technologies." Journal of the Optical Society of America B 27, no. 6 (June 1, 2010): QOIT1. http://dx.doi.org/10.1364/josab.27.0qoit1.

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19

Tsang, Mankei. "Poisson Quantum Information." Quantum 5 (August 19, 2021): 527. http://dx.doi.org/10.22331/q-2021-08-19-527.

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By taking a Poisson limit for a sequence of rare quantum objects, I derive simple formulas for the Uhlmann fidelity, the quantum Chernoff quantity, the relative entropy, and the Helstrom information. I also present analogous formulas in classical information theory for a Poisson model. An operator called the intensity operator emerges as the central quantity in the formalism to describe Poisson states. It behaves like a density operator but is unnormalized. The formulas in terms of the intensity operators not only resemble the general formulas in terms of the density operators, but also coincide with some existing definitions of divergences between unnormalized positive-semidefinite matrices. Furthermore, I show that the effects of certain channels on Poisson states can be described by simple maps for the intensity operators.
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20

Liu Zhenghao, 刘正昊, 许金时 Xu Jinshi, and 李传锋 Li Chuanfeng. "量子信息掩蔽." Acta Optica Sinica 42, no. 3 (2022): 0327001. http://dx.doi.org/10.3788/aos202242.0327001.

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21

Benhelm, J., G. Kirchmair, R. Gerritsma, F. Zähringer, T. Monz, P. Schindler, M. Chwalla, 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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22

Walmsley, Ian, and Peter Knight. "Quantum Information Science." Optics and Photonics News 13, no. 11 (November 1, 2002): 42. http://dx.doi.org/10.1364/opn.13.11.000042.

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23

Jaeger, Gregg, David Simon, and Alexander Sergienko. "Topological Qubits as Carriers of Quantum Information in Optics." Applied Sciences 9, no. 3 (February 10, 2019): 575. http://dx.doi.org/10.3390/app9030575.

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Winding number is a topologically significant quantity that has found valuable applications in various areas of mathematical physics. Here, topological qubits are shown capable of formation from winding number superpositions and so of being used in the communication of quantum information in linear optical systems, the most common realm for quantum communication. In particular, it is shown that winding number qubits appear in several aspects of such systems, including quantum electromagnetic states of spin, momentum, orbital angular momentum, polarization of beams of particles propagating in free-space, optical fiber, beam splitters, and optical multiports.
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24

Kaneda, Fumihiro, Feihu Xu, Joseph Chapman, and Paul G. Kwiat. "Quantum-memory-assisted multi-photon generation for efficient quantum information processing." Optica 4, no. 9 (August 25, 2017): 1034. http://dx.doi.org/10.1364/optica.4.001034.

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25

Stenholm, Stig. "Observations and quantum information." Journal of Modern Optics 47, no. 2-3 (February 2000): 311–24. http://dx.doi.org/10.1080/09500340008244044.

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26

Mishra, Manoj K., Ajay K. Maurya, and Hari Prakash. "Two-way quantum communication: ‘secure quantum information exchange’." Journal of Physics B: Atomic, Molecular and Optical Physics 44, no. 11 (May 19, 2011): 115504. http://dx.doi.org/10.1088/0953-4075/44/11/115504.

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27

Pryde, Geoff J. "The quantum information cocoon." Nature Photonics 2, no. 8 (August 2008): 461–62. http://dx.doi.org/10.1038/nphoton.2008.142.

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28

Tomita, A. "Quantum Information Processing with Fiber Optics: Quantum Fourier Transform of 1024 Qubits." Optics and Spectroscopy 99, no. 2 (2005): 204. http://dx.doi.org/10.1134/1.2034605.

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29

Lee, Seung-Woo, Jaewan Kim, and Hyunchul Nha. "Complete Information Balance in Quantum Measurement." Quantum 5 (March 17, 2021): 414. http://dx.doi.org/10.22331/q-2021-03-17-414.

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Quantum measurement is a basic tool to manifest intrinsic quantum effects from fundamental tests to quantum information applications. While a measurement is typically performed to gain information on a quantum state, its role in quantum technology is indeed manifold. For instance, quantum measurement is a crucial process element in measurement-based quantum computation. It is also used to detect and correct errors thereby protecting quantum information in error-correcting frameworks. It is therefore important to fully characterize the roles of quantum measurement encompassing information gain, state disturbance and reversibility, together with their fundamental relations. Numerous efforts have been made to obtain the trade-off between information gain and state disturbance, which becomes a practical basis for secure information processing. However, a complete information balance is necessary to include the reversibility of quantum measurement, which constitutes an integral part of practical quantum information processing. We here establish all pairs of trade-off relations involving information gain, disturbance, and reversibility, and crucially the one among all of them together. By doing so, we show that the reversibility plays a vital role in completing the information balance. Remarkably, our result can be interpreted as an information-conservation law of quantum measurement in a nontrivial form. We completely identify the conditions for optimal measurements that satisfy the conservation for each tradeoff relation with their potential applications. Our work can provide a useful guideline for designing a quantum measurement in accordance with the aims of quantum information processors.
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30

Doskoch, Igor Ya, and Margarita A. Man’ko. "Post Scriptum: Tendency in Understanding the Foundations of Quantum Optics, Quantum Information, and Quantum Computing Technologies†." Journal of Russian Laser Research 39, no. 5 (September 2018): 499–504. http://dx.doi.org/10.1007/s10946-018-9745-x.

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31

Hodson, Douglas D., Michael R. Grimaila, Logan O. Mailloux, Colin V. McLaughlin, and Gerald Baumgartner. "Modeling quantum optics for quantum key distribution system simulation." Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 16, no. 1 (January 10, 2017): 15–26. http://dx.doi.org/10.1177/1548512916684561.

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This article presents the background, development, and implementation of a simulation framework used to model the quantum exchange aspects of Quantum Key Distribution (QKD) systems. The presentation of our simulation framework is novel from several perspectives, one of which is the lack of published information in this area. QKD is an innovative technology which exploits the laws of quantum mechanics to generate and distribute unconditionally secure cryptographic keys. While QKD offers the promise of unconditionally secure key distribution, real world systems are built from non-ideal components which necessitates the need to understand the impact these non-idealities have on system performance and security. To study these non-idealities we present the development of a quantum communications modeling and simulation capability. This required a suitable mathematical representation of quantum optical pulses and optical component transforms. Furthermore, we discuss how these models are implemented within our Discrete Event Simulation-based framework and show how it is used to study a variety of QKD implementations.
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32

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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33

Castro Santis, Ricardo. "Quantum stochastic dynamics in multi-photon optics." Infinite Dimensional Analysis, Quantum Probability and Related Topics 17, no. 01 (March 2014): 1450007. http://dx.doi.org/10.1142/s0219025714500076.

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Multi-photon models are theoretically and experimentally important because in them quantum properly phenomena are verified; as well as squeezed light and quantum entanglement also play a relevant role in quantum information and quantum communication (see Refs. 18–20).In this paper we study a generic model of a multi-photon system with an arbitrary number of pumping and subharmonics fields. This model includes measurement on the system, as could be direct or homodyne detection and we demonstrate the existence of dynamics in the context of Continuous Measurement Theory of Open Quantum Systems (see Refs. 1–11) using Quantum Stochastic Differential Equations with unbounded coefficients (see Refs. 10–15).
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34

Fickler, Robert, Geoff Campbell, Ben Buchler, Ping Koy Lam, and Anton Zeilinger. "Quantum entanglement of angular momentum states with quantum numbers up to 10,010." Proceedings of the National Academy of Sciences 113, no. 48 (November 15, 2016): 13642–47. http://dx.doi.org/10.1073/pnas.1616889113.

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Photons with a twisted phase front carry a quantized amount of orbital angular momentum (OAM) and have become important in various fields of optics, such as quantum and classical information science or optical tweezers. Because no upper limit on the OAM content per photon is known, they are also interesting systems to experimentally challenge quantum mechanical prediction for high quantum numbers. Here, we take advantage of a recently developed technique to imprint unprecedented high values of OAM, namely spiral phase mirrors, to generate photons with more than 10,000 quanta of OAM. Moreover, we demonstrate quantum entanglement between these large OAM quanta of one photon and the polarization of its partner photon. To our knowledge, this corresponds to entanglement with the largest quantum number that has been demonstrated in an experiment. The results may also open novel ways to couple single photons to massive objects, enhance angular resolution, and highlight OAM as a promising way to increase the information capacity of a single photon.
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35

Lodahl, Peter, and Søren Stobbe. "Solid-state quantum optics with quantum dots in photonic nanostructures." Nanophotonics 2, no. 1 (February 1, 2013): 39–55. http://dx.doi.org/10.1515/nanoph-2012-0039.

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AbstractQuantum nanophotonics has become a new research frontier where quantum optics is combined with nanophotonics in order to enhance and control the interaction between strongly confined light and quantum emitters. Such progress provides a promising pathway towards quantum-information processing on an all-solid-state platform. Here we review recent progress on experiments with quantum dots in nanophotonic structures with special emphasis on the dynamics of single-photon emission. Embedding the quantum dots in photonic band-gap structures offers a way of controlling spontaneous emission of single photons to a degree that is determined by the local light-matter coupling strength. Introducing defects in photonic crystals implies new functionalities. For instance, efficient and strongly confined cavities can be constructed enabling cavity-quantum-electrodynamics experiments. Furthermore, the speed of light can be tailored in a photonic-crystal waveguide forming the basis for highly efficient single-photon sources where the photons are channeled into the slowly propagating mode of the waveguide. Finally, we will discuss some of the surprises that arise in solid-state implementations of quantum-optics experiments in comparison to their atomic counterparts. In particular, it will be shown that the celebrated point-dipole description of light-matter interaction can break down when quantum dots are coupled to plasmon nanostructures.
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36

Reimer, M. E., W. R. McKinnon, J. Lapointe, D. Dalacu, P. J. Poole, G. C. Aers, D. Kim, M. Korkusiński, P. Hawrylak, and R. L. Williams. "Towards scalable gated quantum dots for quantum information applications." Physica E: Low-dimensional Systems and Nanostructures 40, no. 6 (April 2008): 1790–93. http://dx.doi.org/10.1016/j.physe.2007.08.131.

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37

Munro, W. J., Kae Nemoto, T. P. Spiller, S. D. Barrett, Pieter Kok, and R. G. Beausoleil. "Efficient optical quantum information processing." Journal of Optics B: Quantum and Semiclassical Optics 7, no. 7 (June 30, 2005): S135—S140. http://dx.doi.org/10.1088/1464-4266/7/7/002.

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38

Masada, Genta, and Akira Furusawa. "On-chip continuous-variable quantum entanglement." Nanophotonics 5, no. 3 (September 1, 2016): 469–82. http://dx.doi.org/10.1515/nanoph-2015-0142.

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AbstractEntanglement is an essential feature of quantum theory and the core of the majority of quantum information science and technologies. Quantum computing is one of the most important fruits of quantum entanglement and requires not only a bipartite entangled state but also more complicated multipartite entanglement. In previous experimental works to demonstrate various entanglement-based quantum information processing, light has been extensively used. Experiments utilizing such a complicated state need highly complex optical circuits to propagate optical beams and a high level of spatial interference between different light beams to generate quantum entanglement or to efficiently perform balanced homodyne measurement. Current experiments have been performed in conventional free-space optics with large numbers of optical components and a relatively large-sized optical setup. Therefore, they are limited in stability and scalability. Integrated photonics offer new tools and additional capabilities for manipulating light in quantum information technology. Owing to integrated waveguide circuits, it is possible to stabilize and miniaturize complex optical circuits and achieve high interference of light beams. The integrated circuits have been firstly developed for discrete-variable systems and then applied to continuous-variable systems. In this article, we review the currently developed scheme for generation and verification of continuous-variable quantum entanglement such as Einstein-Podolsky-Rosen beams using a photonic chip where waveguide circuits are integrated. This includes balanced homodyne measurement of a squeezed state of light. As a simple example, we also review an experiment for generating discrete-variable quantum entanglement using integrated waveguide circuits.
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39

Dey, Sanjib. "An introductory review on resource theories of generalized nonclassical light." Journal of Physics: Conference Series 2038, no. 1 (October 1, 2021): 012008. http://dx.doi.org/10.1088/1742-6596/2038/1/012008.

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Abstract Quantum resource theory is perhaps the most revolutionary framework that quantum physics has ever experienced. It plays vigorous roles in unifying the quantification methods of a requisite quantum effect as wells as in identifying protocols that optimize its usefulness in a given application in areas ranging from quantum information to computation. Moreover, the resource theories have transmuted radical quantum phenomena like coherence, nonclassicality and entanglement from being just intriguing to being helpful in executing realistic thoughts. A general quantum resource theoretical framework relies on the method of categorization of all possible quantum states into two sets, namely, the free set and the resource set. Associated with the set of free states there is a number of free quantum operations emerging from the natural constraints attributed to the corresponding physical system. Then, the task of quantum resource theory is to discover possible aspects arising from the restricted set of operations as resources. Along with the rapid growth of various resource theories corresponding to standard harmonic oscillator quantum optical states, significant advancement has been expedited along the same direction for generalized quantum optical states. Generalized quantum optical framework strives to bring in several prosperous contemporary ideas including nonlinearity, PT -symmetric non-Hermitian theories, q-deformed bosonic systems, etc., to accomplish similar but elevated objectives of the standard quantum optics and information theories. In this article, we review the developments of nonclassical resource theories of different generalized quantum optical states and their usefulness in the context of quantum information theories.
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40

Ortolano, Giuseppe, Elena Losero, Stefano Pirandola, Marco Genovese, and Ivano Ruo-Berchera. "Experimental quantum reading with photon counting." Science Advances 7, no. 4 (January 2021): eabc7796. http://dx.doi.org/10.1126/sciadv.abc7796.

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The final goal of quantum hypothesis testing is to achieve quantum advantage over all possible classical strategies. In the protocol of quantum reading, this is achieved for information retrieval from an optical memory, whose generic cell stores a bit of information in two possible lossy channels. We show, theoretically and experimentally, that quantum advantage is obtained by practical photon-counting measurements combined with a simple maximum-likelihood decision. In particular, we show that this receiver combined with an entangled two-mode squeezed vacuum source is able to outperform any strategy based on statistical mixtures of coherent states for the same mean number of input photons. Our experimental findings demonstrate that quantum entanglement and simple optics are able to enhance the readout of digital data, paving the way to real applications of quantum reading and with potential applications for any other model that is based on the binary discrimination of bosonic loss.
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41

Devitt, S. "Scalable quantum information processing and the optical topological quantum computer." Optics and Spectroscopy 108, no. 2 (February 2010): 267–81. http://dx.doi.org/10.1134/s0030400x10020165.

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42

Goldner, Philippe, and Olivier Guillot-Noël. "Rare Earth Doped Crystals for Quantum Information: Quantum Computing and Quantum Storage." Materials Science Forum 518 (July 2006): 173–80. http://dx.doi.org/10.4028/www.scientific.net/msf.518.173.

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Quantum information uses special properties of quantum systems to manipulate or transmit data. This results in new processes, which are impossible to obtain with classical devices. For example, quantum computing and quantum storage, which are two important fields in quantum information research, aim respectively at performing very fast calculations and at storing quantum states of photons. These two applications could be obtained in solid-state systems using rare earth doped crystals. In this context, the most important property of these materials is the long coherence lifetimes of rare earth ion optical and hyperfine transitions. This allows one to create long-lived superposition states, which is a fundamental requirement for efficient quantum computing and storage. Promising results have already been demonstrated in rare earth doped crystals but it will be difficult to improve them with current materials. In this paper, we discuss the general and specific requirements for rare earth ions and crystals in order to perform quantum computing with a large number of quantum bits as well as all solid-state quantum storage. We also present the properties of a few recently studied crystals: Ho3+:YVO4, Ho3+:LuVO4 (quantum computing) and Tm3+:Y3Al5O12 (quantum storage).
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43

Xavier, Jolly, Deshui Yu, Callum Jones, Ekaterina Zossimova, and Frank Vollmer. "Quantum nanophotonic and nanoplasmonic sensing: towards quantum optical bioscience laboratories on chip." Nanophotonics 10, no. 5 (March 1, 2021): 1387–435. http://dx.doi.org/10.1515/nanoph-2020-0593.

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Abstract Quantum-enhanced sensing and metrology pave the way for promising routes to fulfil the present day fundamental and technological demands for integrated chips which surpass the classical functional and measurement limits. The most precise measurements of optical properties such as phase or intensity require quantum optical measurement schemes. These non-classical measurements exploit phenomena such as entanglement and squeezing of optical probe states. They are also subject to lower detection limits as compared to classical photodetection schemes. Biosensing with non-classical light sources of entangled photons or squeezed light holds the key for realizing quantum optical bioscience laboratories which could be integrated on chip. Single-molecule sensing with such non-classical sources of light would be a forerunner to attaining the smallest uncertainty and the highest information per photon number. This demands an integrated non-classical sensing approach which would combine the subtle non-deterministic measurement techniques of quantum optics with the device-level integration capabilities attained through nanophotonics as well as nanoplasmonics. In this back drop, we review the underlining principles in quantum sensing, the quantum optical probes and protocols as well as state-of-the-art building blocks in quantum optical sensing. We further explore the recent developments in quantum photonic/plasmonic sensing and imaging together with the potential of combining them with burgeoning field of coupled cavity integrated optoplasmonic biosensing platforms.
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44

Cao, Zhuo-Liang, and Ming Yang. "Quantum information processing for ions via linear optics." Journal of Modern Optics 55, no. 6 (March 20, 2008): 907–19. http://dx.doi.org/10.1080/09500340701528701.

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45

Huttner, Bruno, and Artur K. Ekert. "Information Gain in Quantum Eavesdropping." Journal of Modern Optics 41, no. 12 (December 1994): 2455–66. http://dx.doi.org/10.1080/09500349414552301.

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46

Zoller, P., Th Beth, D. Binosi, R. Blatt, H. Briegel, D. Bruss, T. Calarco, et al. "Quantum information processing and communication." European Physical Journal D 36, no. 2 (September 13, 2005): 203–28. http://dx.doi.org/10.1140/epjd/e2005-00251-1.

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47

Meyer, Johannes Jakob. "Fisher Information in Noisy Intermediate-Scale Quantum Applications." Quantum 5 (September 9, 2021): 539. http://dx.doi.org/10.22331/q-2021-09-09-539.

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The recent advent of noisy intermediate-scale quantum devices, especially near-term quantum computers, has sparked extensive research efforts concerned with their possible applications. At the forefront of the considered approaches are variational methods that use parametrized quantum circuits. The classical and quantum Fisher information are firmly rooted in the field of quantum sensing and have proven to be versatile tools to study such parametrized quantum systems. Their utility in the study of other applications of noisy intermediate-scale quantum devices, however, has only been discovered recently. Hoping to stimulate more such applications, this article aims to further popularize classical and quantum Fisher information as useful tools for near-term applications beyond quantum sensing. We start with a tutorial that builds an intuitive understanding of classical and quantum Fisher information and outlines how both quantities can be calculated on near-term devices. We also elucidate their relationship and how they are influenced by noise processes. Next, we give an overview of the core results of the quantum sensing literature and proceed to a comprehensive review of recent applications in variational quantum algorithms and quantum machine learning.
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48

Northup, T. E., and R. Blatt. "Quantum information transfer using photons." Nature Photonics 8, no. 5 (April 25, 2014): 356–63. http://dx.doi.org/10.1038/nphoton.2014.53.

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49

Kim, J., and C. Kim. "Integrated optical approach to trapped ion quantum computation." Quantum Information and Computation 9, no. 3&4 (March 2009): 181–202. http://dx.doi.org/10.26421/qic9.3-4-1.

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Recent experimental progress in quantum information processing with trapped ions have demonstrated most of the fundamental elements required to realize a scalable quantum computer. The next set of challenges lie in realization of a large number of qubits and the means to prepare, manipulate and measure them, leading to error-protected qubits and fault tolerant architectures. The integration of qubits necessarily require integrated optical approach as most of these operations involve interaction with photons. In this paper, we discuss integrated optics technologies and concrete optical designs needed for the physical realization of scalable quantum computer.
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Troiani, F., U. Hohenester, and E. Molinari. "Quantum-Information Processing in Semiconductor Quantum Dots." physica status solidi (b) 224, no. 3 (April 2001): 849–53. http://dx.doi.org/10.1002/(sici)1521-3951(200104)224:3<849::aid-pssb849>3.0.co;2-q.

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