Relevant bibliographies by topics / Hybrid quantum computing

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

Academic literature on the topic 'Hybrid quantum computing'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Hybrid quantum computing"

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Skopec, Robert. "Hybrid Quantum Computing Apocalypse." American International Journal of Multidisciplinary Scientific Research 1, no. 1 (August 22, 2018): 31–38. http://dx.doi.org/10.46281/aijmsr.v1i1.181.

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Chinese scientists won a major victory, by proving that the Majorana fermions – a particle we’ve found tantalizing hints for years – genuinely exists. This discovery has huge implications for quantum computing, and it might change the world. Don Lincoln, a senior physicist at Fermi lab, does research using the Large Hadrons Collider. He is the author of “The Large Hadrons Collider: The Extraordinary Story of the Higgs Boson and Other Stuff That Will Blow Your Mind”, and produces a series of science education videos. To the question: Why is there (in our Universe) something including cancer, rather than nothing? He is giving the simplest scientific answer: We shouldn’t exist at all.
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Proctor, Timothy J., and Viv Kendon. "Hybrid quantum computing with ancillas." Contemporary Physics 57, no. 4 (March 15, 2016): 459–76. http://dx.doi.org/10.1080/00107514.2016.1152700.

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Li, Yu, and Liang Ma. "A Hybrid Ant Algorithm for the Vehicle Routing Problem." Applied Mechanics and Materials 182-183 (June 2012): 2118–22. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.2118.

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A hybrid algorithm for solving the vehicle routing problem is proposed based upon the combination of Ant Colony Optimization and quantum computing. The algorithm takes the advantage of the principles in quantum computing, such as the qubit, quantum gate, and the quantum superposition of states. It can search the best solution by quantum walk and can further improve the search capability of the algorithm for the best solution. Numerical examples are tested and verified, that show the good performances.
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Frank, Jodi Ackerman. "Hybrid quantum computing circuit combines quantum devices with readout amplifier." Scilight 2020, no. 49 (December 4, 2020): 491108. http://dx.doi.org/10.1063/10.0002863.

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Ingber, Lester. "Hybrid classical-quantum computing: Applications to statistical mechanics of financial markets." E3S Web of Conferences 307 (2021): 04001. http://dx.doi.org/10.1051/e3sconf/202130704001.

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Hybrid Classical-Quantum computing is now offered by several commercial quantum computers. In this project, a model of financial options, Statistical Mechanics of Financial Markets (SMFM), uses this approach. However, only Classical (super-)computers are used to include the quantum features of these models. Since 1989, Adaptive Simulated Annealing (ASA), an optimization code using importance-sampling, has fit parameters in such models. Since 2015, PATHINT, a path-integral numerical agorithm, has been used to describe several systems in several disciplines. PATHINT has been generalized from 1 dimension to N dimensions, and from classical to quantum systems into qPATHINT. Published papers have described the use of qPATHINT to neocortical interactions and financial options. The classical space modeled by SMFM fits parameters in conditional short-time probability distributions of nonlinear nonequilibrium multivariate statistical mechanics, while the quantum space modeled by qPATHINT describes quantum money. This project demonstrates how some hybrid classical-quantum systems may be calculated using only classical (super-)computers.
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Kendon, Viv, Angelika Sebald, and Susan Stepney. "Heterotic computing: exploiting hybrid computational devices." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 373, no. 2046 (July 28, 2015): 20150091. http://dx.doi.org/10.1098/rsta.2015.0091.

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Current computational theory deals almost exclusively with single models: classical, neural, analogue, quantum, etc. In practice, researchers use ad hoc combinations, realizing only recently that they can be fundamentally more powerful than the individual parts. A Theo Murphy meeting brought together theorists and practitioners of various types of computing, to engage in combining the individual strengths to produce powerful new heterotic devices. ‘Heterotic computing’ is defined as a combination of two or more computational systems such that they provide an advantage over either substrate used separately. This post-meeting collection of articles provides a wide-ranging survey of the state of the art in diverse computational paradigms, together with reflections on their future combination into powerful and practical applications.
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Iyer, Vijayasri, Bhargava Ganti, A. M. Hima Vyshnavi, P. K. Krishnan Namboori, and Sriram Iyer. "Hybrid quantum computing based early detection of skin cancer." Journal of Interdisciplinary Mathematics 23, no. 2 (February 17, 2020): 347–55. http://dx.doi.org/10.1080/09720502.2020.1731948.

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Zhao, Yujing, Xiongwen Chen, Zhengang Shi, Fang Zhou, Shaohua Xiang, and Kehui Song. "Implementation of One-Way Quantum Computing with a Hybrid Solid-State Quantum System." Chinese Journal of Electronics 26, no. 1 (January 1, 2017): 27–34. http://dx.doi.org/10.1049/cje.2016.11.004.

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Wei, Shijie, Hang Li, and GuiLu Long. "A Full Quantum Eigensolver for Quantum Chemistry Simulations." Research 2020 (March 23, 2020): 1–11. http://dx.doi.org/10.34133/2020/1486935.

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Quantum simulation of quantum chemistry is one of the most compelling applications of quantum computing. It is of particular importance in areas ranging from materials science, biochemistry, and condensed matter physics. Here, we propose a full quantum eigensolver (FQE) algorithm to calculate the molecular ground energies and electronic structures using quantum gradient descent. Compared to existing classical-quantum hybrid methods such as variational quantum eigensolver (VQE), our method removes the classical optimizer and performs all the calculations on a quantum computer with faster convergence. The gradient descent iteration depth has a favorable complexity that is logarithmically dependent on the system size and inverse of the precision. Moreover, the FQE can be further simplified by exploiting a perturbation theory for the calculations of intermediate matrix elements and obtaining results with a precision that satisfies the requirement of chemistry application. The full quantum eigensolver can be implemented on a near-term quantum computer. With the rapid development of quantum computing hardware, the FQE provides an efficient and powerful tool to solve quantum chemistry problems.
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Li, Yiwei, Edison Tsai, Marek Perkowski, and Xiaoyu Song. "Grover-based Ashenhurst-Curtis decomposition using quantum language quipper." Quantum Information and Computation 19, no. 1&2 (February 2019): 35–66. http://dx.doi.org/10.26421/qic19.1-2-4.

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Functional decomposition plays a key role in several areas such as system design, digital circuits, database systems, and Machine Learning. This paper presents a novel quantum computing approach based on Grover’s search algorithm for a generalized Ashenhurst-Curtis decomposition. The method models the decomposition problem as a search problem and constructs the oracle circuit based on the set-theoretic partition algebra. A hybrid quantum-based algorithm takes advantage of the quadratic speedup achieved by Grover’s search algorithm with quantum oracles for finding the minimum-cost decomposition. The method is implemented and simulated in the quantum programming language Quipper. This work constitutes the first attempt to apply quantum computing to functional decomposition.
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Dissertations / Theses on the topic "Hybrid quantum computing"

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Cammack, Helen Mary. "Coherence protection in coupled qubit systems." Thesis, University of St Andrews, 2018. http://hdl.handle.net/10023/16457.

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Decoherence is a major barrier to the implementation of quantum technologies. Theoretical techniques for understanding decoherence in composite systems have traditionally been focused on systems with distinguishable emission spectra, where measuring the frequency of an emitted photon allows one to determine which process took place. Here the photon contains information about the state of the system. On the other hand, systems with indistinguishable spectra do not necessarily completely reveal information about the state of the system when a photon is emitted. It can be impossible to say for certain which of two nearly degenerate transitions has occurred just by measuring the photon's frequency. It is then possible to preserve information within the system throughout the decay process. In this Thesis we show that indistinguishable spectra can lead to protected coherences within one part of a coupled quantum system, even as another part decays. We develop a zero-temperature exact approach for modelling such systems, and compare it to the microscopically derived Born-Markov master equation. This comparison helps us to understand the range of validity of the Markovian approximation. We use this understanding to extend the master equation approach to finite temperature within the Markovian regime, and we compare its high temperature results to a semiclassical model. We examine the physical conditions required for coherence protection, and remarkably we find that heating the system can improve coherence protection. Similarly, increasing the decay rate of the unprotected part of the coupled system can also enhance the coherence of the protected part. These effects are the results of linewidth broadening and thus greater spectral indistinguishability. The findings in this Thesis are of interest to both those seeking to engineer hybrid quantum systems and those seeking to develop theoretical techniques for dealing with the decoherence of composite quantum systems.
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Books on the topic "Hybrid quantum computing"

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Launay, Jean-Pierre, and Michel Verdaguer. The mastered electron: molecular electronics and spintronics, molecular machines. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198814597.003.0005.

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After a historical account of the evolution which led to the concept of Molecular Electronics, the “Hybrid Molecular Electronics” approach (that is, molecules connected to nanosized metallic electrodes) is discussed. The different types of transport (one-step, two-step with different forms of tunnelling) are described, including the case where the molecule is paramagnetic (Kondo resonance). Several molecular achievements are presented: wires, diodes, memory cells, field-effect transistors, switches, using molecules, but also carbon nanotubes. A spin-off result is the possibility of imaging Molecular Orbitals. The emerging field of molecular spintronics is presented. Besides hybrid devices, examples are given of electronic functionalities using ensembles of molecules, either in solution (logical functions) or in the solid state (memory elements). The relation with the domain of Quantum Computing is presented, including the particular domain of Quantum Hamiltonian Computing. The chapter finishes by an introduction to molecular machines, with the problem of the directional control of their motion.
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Book chapters on the topic "Hybrid quantum computing"

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Lloyd, Seth. "Hybrid Quantum Computing." In Quantum Information with Continuous Variables, 37–45. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-015-1258-9_5.

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Weigold, Manuela, Johanna Barzen, Frank Leymann, and Daniel Vietz. "Patterns for Hybrid Quantum Algorithms." In Service-Oriented Computing, 34–51. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87568-8_2.

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Chen, Chih-Chieh, Kodai Shiba, Masaru Sogabe, Katsuyoshi Sakamoto, and Tomah Sogabe. "Hybrid Quantum-Classical Dynamic Programming Algorithm." In Advances in Intelligent Systems and Computing, 192–99. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73113-7_18.

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Rogozhin, Yurii, Artiom Alhazov, Lyudmila Burtseva, Svetlana Cojocaru, Alexandru Colesnicov, and Ludmila Malahov. "P System Computational Model as Framework for Hybrid (Membrane-Quantum) Computations." In Membrane Computing, 373–84. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14370-5_23.

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Djemame, Safia, and Mohamed Batouche. "A Hybrid Metaheuristic Algorithm Based on Quantum Genetic Computing for Image Segmentation." In Hybrid Metaheuristics for Image Analysis, 33–48. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77625-5_2.

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Moraga, Claudio. "Hybrid GF(2) – Boolean Expressions ..for Quantum Computing Circuits." In Reversible Computation, 54–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29517-1_5.

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Frangou, George J., Stephane Chretien, and Ivan Rungger. "The First Quantum Co-processor Hybrid for Processing Quantum Point Cloud Multimodal Sensor Data." In Advances in Intelligent Systems and Computing, 411–26. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32520-6_32.

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Charan Kumari, A., K. Srinivas, and M. P. Gupta. "Software Requirements Optimization Using Multi-Objective Quantum-Inspired Hybrid Differential Evolution." In Advances in Intelligent Systems and Computing, 107–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31519-0_7.

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Vangala, Swathi, E. Rishi kiran, and J. V. R. Ravindra. "QUEST: Quantum Computing-Based Reversible Hybrid Encoder/Decoder for Error Resilient Transmission." In Advances in Intelligent Systems and Computing, 497–505. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1249-7_47.

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Zheng, Tianmin, and Mitsuo Yamashiro. "Solving No-Wait Flow Shop Scheduling Problems by a Hybrid Quantum-Inspired Evolutionary Algorithm." In Advances in Soft Computing, 315–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16773-7_27.

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Conference papers on the topic "Hybrid quantum computing"

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Franson, James D., Bryan C. Jacobs, and Todd B. Pittman. "Hybrid approach for optical quantum computing." In International Quantum Electronics Conference. Washington, D.C.: OSA, 2004. http://dx.doi.org/10.1364/iqec.2004.imc2.

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Humble, Travis S., Ronadl J. Sadlier, and Keith A. Britt. "Simulated execution of hybrid quantum computing systems." In Quantum Information Science, Sensing, and Computation X, edited by Michael Hayduk and Eric Donkor. SPIE, 2018. http://dx.doi.org/10.1117/12.2303824.

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Rabl, P., D. DeMille, J. M. Doyle, M. D. Lukin, R. J. Schoelkopf, and P. Zoller. "Polar Molecules and Circuit QED: Towards Hybrid Quantum Computing." In International Conference on Quantum Information. Washington, D.C.: OSA, 2008. http://dx.doi.org/10.1364/icqi.2008.qmc1.

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McCaskey, Alexander, Eugene Dumitrescu, Dmitry Liakh, and Travis Humble. "Hybrid Programming for Near-Term Quantum Computing Systems." In 2018 IEEE International Conference on Rebooting Computing (ICRC). IEEE, 2018. http://dx.doi.org/10.1109/icrc.2018.8638598.

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Biswas, Asoka. "Squeezing and quantum computing in hybrid cavity optomechanics." In International Conference on Fibre Optics and Photonics. Washington, D.C.: OSA, 2016. http://dx.doi.org/10.1364/photonics.2016.w2c.1.

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Lanzagorta, Marco, and Jeffrey K. Uhlmann. "Hybrid quantum computing: semicloning for general database retrieval." In Defense and Security, edited by Eric J. Donkor, Andrew R. Pirich, and Howard E. Brandt. SPIE, 2005. http://dx.doi.org/10.1117/12.602928.

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Lanzagorta, Marco, and Jeffrey K. Uhlmann. "Hybrid quantum-classical computing with applications to computer graphics." In ACM SIGGRAPH 2005 Courses. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1198555.1198723.

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Osaba, Eneko, Esther Villar-Rodriguez, Izaskun Oregi, and Aitor Moreno-Fernandez-de-Leceta. "Focusing on the hybrid quantum computing - Tabu search algorithm." In GECCO '21: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3449726.3463123.

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Cai, Yanguang, Zhang Minjie, and Cai Hao. "A hybrid chaotic quantum evolutionary algorithm." In 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icicisys.2010.5658622.

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Lee, Seung-Woo, and Hyunseok Jeong. "Deterministic linear-optics quantum computing based on a hybrid approach." In INTERNATIONAL CONFERENCE ON QUANTITATIVE SCIENCES AND ITS APPLICATIONS (ICOQSIA 2014): Proceedings of the 3rd International Conference on Quantitative Sciences and Its Applications. AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4903151.

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Journal articles
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