Relevant bibliographies by topics / Quantum computing

Academic literature on the topic 'Quantum computing'

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Published: 4 June 2021
Last updated: 31 July 2024

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Journal articles on the topic "Quantum computing"

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Das, Kingkar. "Quantum Computing." International Journal for Research in Applied Science and Engineering Technology 12, no. 2 (February 29, 2024): 895–903. http://dx.doi.org/10.22214/ijraset.2024.58478.

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Abstract: The revolutionary technology known as quantum computing has the potential to completely transform several industries, including material research, medicine development, optimization, and cryptography. Quantum computers use the ideas of quantum mechanics to harness the power of quantum bits, or qubits, in contrast to classical computers, which function using binary digits, or bits. These qubits, which exist in a superposition of states, allow quantum computers to operate at a computational rate never before possible, potentially tackling challenging issues that are beyond the capabilities of classical systems
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CR, Senise Jr. "The (Present) Age of Quantum Computing." Physical Science & Biophysics Journal 7, no. 1 (January 5, 2023): 1–3. http://dx.doi.org/10.23880/psbj-16000229.

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Quantum computing is an intense and challenging research area, that promises to change the world we live in. But what is its current status, both in terms of understanding and applications? We discuss some points related to this question in this article.
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IM, Hyunsik. "Quantum Computing." Physics and High Technology 23, no. 10 (October 31, 2014): 12. http://dx.doi.org/10.3938/phit.23.039.

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Hevia, Jose Luis, Guido Peterssen, Christof Ebert, and Mario Piattini. "Quantum Computing." IEEE Software 38, no. 5 (September 2021): 7–15. http://dx.doi.org/10.1109/ms.2021.3087755.

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Li, S. S., G. L. Long, F. S. Bai, S. L. Feng, and H. Z. Zheng. "Quantum computing." Proceedings of the National Academy of Sciences 98, no. 21 (September 18, 2001): 11847–48. http://dx.doi.org/10.1073/pnas.191373698.

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Greenland, P. T. "Quantum computing." Contemporary Physics 42, no. 4 (July 2001): 239–41. http://dx.doi.org/10.1080/00107510110053637.

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RUAN, Dong, Gui-Lu LONG, Shi-Jie WEI, and Tao WANG. "Quantum Computing." SCIENTIA SINICA Informationis 47, no. 10 (October 1, 2017): 1277–99. http://dx.doi.org/10.1360/n112017-00178.

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Brassard, Gilles. "Quantum computing." ACM SIGACT News 25, no. 4 (December 1994): 15–21. http://dx.doi.org/10.1145/190616.190617.

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Desaki, Yoshihisa. "Quantum Computing." Journal of The Institute of Image Information and Television Engineers 70, no. 7 (2016): 632–36. http://dx.doi.org/10.3169/itej.70.632.

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Amundson, James, and Elizabeth Sexton-Kennedy. "Quantum Computing." EPJ Web of Conferences 214 (2019): 09010. http://dx.doi.org/10.1051/epjconf/201921409010.

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In recent years Quantum Computing has attracted a great deal of attention in the scientific and technical communities. Interest in the field has expanded to include the popular press and various funding agencies. We discuss the origins of the idea of using quantum systems for computing. We then give an overview in recent developments in quantum hardware and software, as well as some potential applications for high energy physics.
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Dissertations / Theses on the topic "Quantum computing"

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Zimokos, K. R. "Quantum computing." Thesis, Sumy State University, 2014. http://essuir.sumdu.edu.ua/handle/123456789/45442.

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Computers built on the principles of quantum physics promise a revolution on the order of the invention of the microprocessor or the splitting of the atom. The vast increase in power could revolutionize fields as disparate as medicine, space exploration, and artificial intelligence.
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Дядечко, Алла Миколаївна, Алла Николаевна Дядечко, Alla Mykolaivna Diadechko, Артем Володимирович Дмітрієв, Артем Владимирович Дмитриев, and Artem Volodymyrovych Dmitriiev. "Quantum computing." Thesis, Видавництво СумДУ, 2010. http://essuir.sumdu.edu.ua/handle/123456789/16434.

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Quantum algorithms can perform a select set of tasks vastly more efficiently than any classical algorithms, but for many tasks it has been proven that quantum algorithms provide no advantage. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/16434
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Nutz, Thomas. "Semiconductor quantum light sources for quantum computing." Thesis, Imperial College London, 2018. http://hdl.handle.net/10044/1/63931.

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Semiconductor quantum dots can be used as sources of entangled single photons, which constitute a crucial resource for optical quantum computing. We present theoretical research on entanglement verification and nuclear spin physics, leading to results that are relevant to both experimental work and the theory of quantum optics and mesoscopic quantum systems. Optical quantum computing requires large entangled photonic states, yet characterizing even few-photon states is a challenge in current experiments due to low photon detection efficiencies. We present a lower bound on a measure of computational usefulness of a potentially large quantum state that requires only measured values of three-photon correlations. Hence this bound provides a simple and applicable benchmarking method for quantum dot experiments. We then turn to the critical issue of the interaction between electron and nuclear spins in quantum dots. This interaction gives rise to decoherence that stands in the way of generating entangled photons as well as nuclear phenomena that might help to overcome this challenge. We formulate a quantum mechanical model of the nuclear spin system in a quantum dot driven by continuous-wave laser light. Based on the analytical steady state solution of this model we predict a novel nuclear spin effect, giving rise to nuclear spin polarization that counteracts the effect of an external magnetic field. Beyond the decoherence problem nuclear spins give rise to randomly time-varying transition energies. A quantum mechanical model of this noise as well as the effect of photon scattering is developed, leading to the insight that optical driving can continuously probe the electron transition energy and thereby prevent it from changing.
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Heidebrecht, Andreas. "Quantum state engineering for spin quantum computing." [S.l. : s.n.], 2006. http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-29410.

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Stock, Ryan. "Silicon-based quantum optics and quantum computing." Thesis, Cardiff University, 2018. http://orca.cf.ac.uk/111871/.

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In this thesis is presented a brief review of quantum computing, the DiVincenzo criteria, and the possibility of using a solid state system for building a quantum computing architecture. Donor electron systems in silicon are discussed, before chalcogen, \deep", double donors are suggested as a good candidate for fulfilment of the criteria; the optically driven Stoneham proposal, where the spin-spin interaction between two donor electron spin qbits is mediated by the optically controlled, excited, state of a third donor electron, forms the basis of this [1]. Coherence lifetimes are established as a vital requirement of a quantum bit, but radiative lifetimes must also be long. If the spin-spin interaction between qbits is decreased, or turned off, by the de-excitation of the mediating donor electron then the coherence of the qbit is rendered irrelevant; de-excitation will ruin quantum computations that depend upon an interaction that only happens when the mediating electron is in an excited state. Effective mass theory is used to estimate excited state donor, 2P, wavefunctions for selenium doped silicon, and recent Mott semiconductor to metal transition doping data [2] is used to scale the spatial extent of the 1S(A1) ground state wavefunction. Using these wavefunctions, the expected radiative lifetimes are then calculated, via Fermi's golden rule, to be between 9 ns and 17 ns for the 2P0 state, and 12 ns to 20 ns for the 2P_1 state. Fourier Transform InfraRed (FTIR) absorbance spectroscopy is used to determine the optical transitions for selenium donors in silicon, this has allowed agreement between literature, measured, and effective mass theory energy values for the particular samples measured. FTIR time resolved spectroscopy has then been used to measure the radiative emission spectrum of selenium doped silicon samples at 10-300K, following a 1220 nm laser pulse. Fitting to the exponentially decaying emission data, selenium radiative lifetimes as long as 80 ns are found; for the 2P0 to 1S(A1) transition in an atomic selenium donor complex at 10K. A factor of between 4 and 8 agreement is found between calculated and measured radiative lifetimes. This offers the possibility of nanosecond scale donor electron coherence times for chalcogen dopants in silicon.
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Johnsen, Sverre Gullikstad. "Towards optical quantum computing." Thesis, Norwegian University of Science and Technology, Department of Physics, 2003. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-2256.

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Tsampardoukas, Christos. "Ion trap quantum computing." Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/10704.

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Richard Feynman first proposed the idea of quantum computers thirty years ago. Since then, efforts have been undertaken to realize large-scale, fault-tolerant quantum computers that can factor large numbers much more quickly than classical computers, which would have significant implications for computer security. While there is no universally agreed upon technology for experimentally realizing quantum computers, many researchers look to ion traps as a promising technology. This thesis focuses on ion traps, how they fulfill the Divincenzo criteria, what obstacles must be overcome, and recent achievements in this field. We examine the physical principles of a linear Paul trap, including the confining potential and its quantum dynamics. In addition, we built a mechanical analogue of an ion trap for pedagogical purposes, and we provide an analysis of its trapping potential and compare it to a real ion trap, the Paul trap. Furthermore, we provide guidance for building a course module on ion trap based quantum computing; our guidance is based on course materials from several institutions.
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Duncan, Ross. "Types for quantum computing." Thesis, University of Oxford, 2006. http://ora.ox.ac.uk/objects/uuid:c2901ae8-9386-4dbf-879d-e37bbc2692bd.

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Wang, Qian. "Quantum tunneling, quantum computing, and high temperature superconductivity." Texas A&M University, 2003. http://hdl.handle.net/1969.1/1638.

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In this dissertation, I have studied four theoretical problems in quantum tunneling, quantum computing, and high-temperature superconductivity. I have developed a generally-useful numerical tool for analyzing impurity-induced resonant-state images observed with scanning tunneling microscope (STM) in high temperature superconductors. The integrated tunneling intensities on all predominant sites have been estimated. The results can be used to test the predictions of any tight-binding model calculation. I have numerically simulated two-dimensional time-dependent tunneling of a Gaussian wave packet through a barrier, which contains charged ions. We have found that a negative ion in the barrier directly below the tunneling tip can deflect the tunneling electrons and drastically reduce the probability for them to reach the point in the target plane directly below the tunneling tip. I have studied an infinite family of sure-success quantum algorithms, which are introduced by C.-R. Hu [Phys. Rev. A {\bf 66}, 042301 (2002)], for solving a generalized Grover search problem. Rigorous proofs are found for several conjectures made by Hu and explicit equations are obtained for finding the values of two phase parameters which make the algorithms sure success. Using self-consistent Hartree-Fock theory, I have studied an extended Hubbard model which includes quasi-long-range Coulomb interaction between the holes (characterized by parameter V). I have found that for sufficiently large V/t, doubly-charged-antiphase-island do become energetically favored localized objects in this system for moderate values of U/t, thus supporting a recent conjecture by C.-R. Hu [Int. J. Mod. Phys. B {\bf 17}, 3284 (2003)].
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Meyer, Carola. "Endohedral fullerenes for quantum computing." [S.l. : s.n.], 2003. http://www.diss.fu-berlin.de/2003/296/index.html.

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Books on the topic "Quantum computing"

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Grumbling, Emily, and Mark Horowitz, eds. Quantum Computing. Washington, D.C.: National Academies Press, 2019. http://dx.doi.org/10.17226/25196.

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Hirvensalo, Mika. Quantum Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-09636-9.

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Hirvensalo, Mika. Quantum Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04461-2.

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Thapliyal, Himanshu, and Travis Humble, eds. Quantum Computing. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-37966-6.

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Williams, Colin P., ed. Quantum Computing and Quantum Communications. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-49208-9.

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Homeister, Matthias. Quantum Computing verstehen. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-36434-2.

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Iyengar, Sitharama S., Mario Mastriani, and KJ Latesh Kumar, eds. Quantum Computing Environments. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89746-8.

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Homeister, Matthias. Quantum Computing verstehen. Wiesbaden: Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-10455-9.

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Homeister, Matthias. Quantum Computing verstehen. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-22884-2.

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Homeister, Matthias. Quantum Computing verstehen. Wiesbaden: Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-8348-2278-9.

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Book chapters on the topic "Quantum computing"

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Du, Ke-Lin, and M. N. S. Swamy. "Quantum Computing." In Search and Optimization by Metaheuristics, 283–93. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41192-7_17.

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Frisch, Albert, Harry S. Barowski, Markus Brink, and Peter Hans Roth. "Quantum Computing." In The Frontiers Collection, 527–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-18338-7_27.

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Williams, Colin P., and Scott H. Clearwater. "Quantum Computing." In Ultimate Zero and One, 23–43. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-0495-4_2.

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Brun, Todd A. "Quantum Computing." In Computer Science, 295–347. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1168-0_14.

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Dragoman, Mircea, and Daniela Dragoman. "Quantum Computing." In Atomic-Scale Electronics Beyond CMOS, 157–86. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60563-6_4.

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Steeb, Willi-Hans. "Quantum Computing." In Hilbert Spaces, Wavelets, Generalised Functions and Modern Quantum Mechanics, 205–16. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5332-4_23.

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Kendon, Viv. "Quantum Computing." In Encyclopedia of Complexity and Systems Science, 1–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-27737-5_429-3.

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Kendon, Viv. "Quantum Computing." In Encyclopedia of Complexity and Systems Science, 1–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-642-27737-5_429-4.

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Kendon, Viv. "Quantum Computing." In Computational Complexity, 2388–405. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1800-9_148.

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Kendon, Viv. "Quantum Computing." In Encyclopedia of Complexity and Systems Science, 7201–18. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-30440-3_429.

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Conference papers on the topic "Quantum computing"

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Zoller, P. "Quantum Computing." In The European Conference on Lasers and Electro-Optics. Washington, D.C.: Optica Publishing Group, 1996. http://dx.doi.org/10.1364/cleo_europe.1996.tutg.

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In this tutorial we review basic ideas of quantum computing, from quantum bits and state entanglement to quantum gates and quantum networks [1]. In addition, we give an overview over possible physical implementations of quantum gates[2-6], with emphasis on quantum optical systems: this includes ion traps [2,3], and cavity QED in the optical and microwave domain [4-6], Fundamental problems of building quantum computers, in particular the decoherence problem, and error correction schemes for quantum memory elements [7] and quantum gates [8] will be discussed. We conclude with a critical evaluation what should be expected from quantum computing ideas in terms of applications in physics (quantum optics) and mathematics within the nest few years.
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Patel, Lalit A. "Quantum computing with oscillatory quanta." In Quantum Computing, Communication, and Simulation IV, edited by Philip R. Hemmer and Alan L. Migdall. SPIE, 2024. http://dx.doi.org/10.1117/12.3000438.

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"Quantum computing." In 2015 International Symposium on Advanced Computing and Communication (ISACC). IEEE, 2015. http://dx.doi.org/10.1109/isacc.2015.7377352.

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Matsuura, Anne. "Quantum computing." In CF '21: Computing Frontiers Conference. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3457388.3460817.

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Glassner'S, Andrew. "Quantum computing." In ACM SIGGRAPH 2005 Courses. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1198555.1198724.

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Spector, Lee. "Quantum computing." In the 2007 GECCO conference companion. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1274000.1274128.

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Kasivajhula, Siddhartha. "Quantum computing." In the 44th annual southeast regional conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1185448.1185504.

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Spector, Lee. "Quantum computing." In the 2008 GECCO conference companion. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1388969.1389082.

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O'Brien, Jeremy L. "Quantum Computing." In Frontiers in Optics. Washington, D.C.: OSA, 2015. http://dx.doi.org/10.1364/fio.2015.ftu2a.1.

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NAKAHARA, MIKIO. "COMPUTING WITH QUANTA." In Symposium on Quantum Information and Quantum Computing. WORLD SCIENTIFIC, 2012. http://dx.doi.org/10.1142/9789814425223_0001.

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Reports on the topic "Quantum computing"

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Sexton-Kennedy, Elizabeth S., and James Amundson. Quantum Computing. Office of Scientific and Technical Information (OSTI), January 2019. http://dx.doi.org/10.2172/1477986.

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Pakin, Scott D. Quantum Computing. Office of Scientific and Technical Information (OSTI), December 2017. http://dx.doi.org/10.2172/1415361.

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Hotaling, Steven P. Quantum Computing. Fort Belvoir, VA: Defense Technical Information Center, April 1998. http://dx.doi.org/10.21236/ada345672.

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Aspuru-Guzik, Alan. Quantum Computing for Quantum Chemistry. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada534093.

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Grover, Lov K. Quantum Computing Algorithms. Fort Belvoir, VA: Defense Technical Information Center, July 2004. http://dx.doi.org/10.21236/ada425567.

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Aggour, Kareem S., Robert M. Mattheyses, Joseph Shultz, Brent H. Allen, and Michael Lapinski. Quantum Computing and High Performance Computing. Fort Belvoir, VA: Defense Technical Information Center, December 2006. http://dx.doi.org/10.21236/ada462065.

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Walthall, Rhonda, and Sunil Dixit. Impact of Quantum Computing in Aerospace. SAE International, June 2022. http://dx.doi.org/10.4271/epr2022014.

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As the complexity of systems expands with increasing emphasis for digital transformation, the aerospace industry is generating big data to meet customer requirements. The ability to that data to solve challenging problems is limited by many factors, including the capabilities of current classical computing systems. Impact of Quantum Computing in Aerospace discusses how quantum computing systems offer (possibly quadratic to exponentially) greater computational power over classical computers. The power of quantum computing is tremendous and has many potential impacts on the aerospace industry; however, there are also many unsettled topics surrounding the future of the technology.
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Steel, Duncan G., and Lu J. Sham. Optically Controlled Quantum Dots for Quantum Computing. Fort Belvoir, VA: Defense Technical Information Center, April 2005. http://dx.doi.org/10.21236/ada435727.

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Sham, Lu J. Raman-Controlled Quantum Dots for Quantum Computing. Fort Belvoir, VA: Defense Technical Information Center, November 2005. http://dx.doi.org/10.21236/ada447067.

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Deutsch, Ivan H., and Carlton M. Caves. Quantum Computing Graduate Fellowship. Fort Belvoir, VA: Defense Technical Information Center, May 2005. http://dx.doi.org/10.21236/ada440766.

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