Academic literature on the topic 'Quantum optimization'
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Journal articles on the topic "Quantum optimization"
Hogg, Tad, and Dmitriy Portnov. "Quantum optimization." Information Sciences 128, no. 3-4 (October 2000): 181–97. http://dx.doi.org/10.1016/s0020-0255(00)00052-9.
Full textBerta, Mario, Omar Fawzi, and Volkher B. Scholz. "Quantum Bilinear Optimization." SIAM Journal on Optimization 26, no. 3 (January 2016): 1529–64. http://dx.doi.org/10.1137/15m1037731.
Full textMalossini, A., E. Blanzieri, and T. Calarco. "Quantum Genetic Optimization." IEEE Transactions on Evolutionary Computation 12, no. 2 (April 2008): 231–41. http://dx.doi.org/10.1109/tevc.2007.905006.
Full textApolloni, B., C. Carvalho, and D. de Falco. "Quantum stochastic optimization." Stochastic Processes and their Applications 33, no. 2 (December 1989): 233–44. http://dx.doi.org/10.1016/0304-4149(89)90040-9.
Full textEgger, Daniel J., Jakub Mareček, and Stefan Woerner. "Warm-starting quantum optimization." Quantum 5 (June 17, 2021): 479. http://dx.doi.org/10.22331/q-2021-06-17-479.
Full textLi, Yangyang, Mengzhuo Tian, Guangyuan Liu, Cheng Peng, and Licheng Jiao. "Quantum Optimization and Quantum Learning: A Survey." IEEE Access 8 (2020): 23568–93. http://dx.doi.org/10.1109/access.2020.2970105.
Full textSayed, Gehad Ismail, Ashraf Darwish, and Aboul Ella Hassanien. "Quantum multiverse optimization algorithm for optimization problems." Neural Computing and Applications 31, no. 7 (November 1, 2017): 2763–80. http://dx.doi.org/10.1007/s00521-017-3228-9.
Full textvan Apeldoorn, Joran, András Gilyén, Sander Gribling, and Ronald de Wolf. "Convex optimization using quantum oracles." Quantum 4 (January 13, 2020): 220. http://dx.doi.org/10.22331/q-2020-01-13-220.
Full textKrotov, V. F. "Quantum system control optimization." Doklady Mathematics 78, no. 3 (December 2008): 949–52. http://dx.doi.org/10.1134/s1064562408060380.
Full textMaron, Adriano, Renata Reiser, Maurício Pilla, and Adenauer Yamin. "Quantum Processes: A Novel Optimization for Quantum Simulation." TEMA (São Carlos) 14, no. 3 (November 24, 2013): 399. http://dx.doi.org/10.5540/tema.2013.014.03.0399.
Full textDissertations / Theses on the topic "Quantum optimization"
Arvidsson, Elisabeth. "Optimization algorithms for Quantum Annealing." Thesis, KTH, Fysik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279447.
Full textPye, Cory C. "Applications of optimization to quantum chemistry." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/nq23109.pdf.
Full textGosset, David (David Nicholas). "Case studies in quantum adiabatic optimization." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/68872.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 139-143).
Quantum adiabatic optimization is a quantum algorithm for solving classical optimization problems (E. Farhi, J. Goldstone, S. Gutmann, and M. Sipser. Quantum computation by adiabatic evolution, 2000. arXiv:quant-ph/0001106). The solution to an optimization problem is encoded in the ground state of a "problem Hamiltonian" Hp which acts on the Hilbert space of n spin 1/2 particles and is diagonal in the Pauli z basis. To produce this ground state, one first initializes the quantum system in the ground state of a different Hamiltonian and then adiabatically changes the Hamiltonian into Hp. Farhi et al suggest the interpolating Hamiltonian [mathematical formula] ... where the parameter s is slowly changed as a function of time between 0 and 1. The running time of this algorithm is related to the minimum spectral gap of H(s) for s E (0, 11. We study such transverse field spin Hamiltonians using both analytic and numerical techniques. Our approach is example-based, that is, we study some specific choices for the problem Hamiltonian Hp which illustrate the breadth of phenomena which can occur. We present I A random ensemble of 3SAT instances which this algorithm does not solve efficiently. For these instances H(s) has a small eigenvalue gap at a value s* which approaches 1 as n - oc. II Theorems concerning the interpolating Hamiltonian when Hp is "scrambled" by conjugating with a random permutation matrix. III Results pertaining to phase transitions that occur as a function of the transverse field. IV A new quantum monte carlo method which can be used to compute ground state properties of such quantum systems. We discuss the implications of our results for the performance of quantum adiabatic optimization algorithms.
by David Gosset.
Ph.D.
Nuñez, Lobato Carlos. "Optimization of MOVPE-grown Quantum Dots for long distance quantum communication." Thesis, KTH, Tillämpad fysik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-258829.
Full textStojnic, Mihailo Hassibi Babak Hassibi Babak. "Optimization algorithms in wireless and quantum communications /." Diss., Pasadena, Calif. : Caltech, 2008. http://resolver.caltech.edu/CaltechETD:etd-12032007-113628.
Full textBai, Jing. "Optimization of Optical Nonlinearities in Quantum Cascade Lasers." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19797.
Full textAlanis, Dimitrios. "Quantum-assisted multi-objective optimization of heterogeneous networks." Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/419588/.
Full textTitiloye, Olawale. "Optimization by quantum annealing for the graph colouring problem." Thesis, Manchester Metropolitan University, 2013. http://e-space.mmu.ac.uk/324247/.
Full textKhalus, Vladislav Ivanovich. "T-COUNT OPTIMIZATION OF QUANTUM CARRY LOOK-AHEAD ADDER." UKnowledge, 2019. https://uknowledge.uky.edu/ece_etds/141.
Full textRava, Andrea Basilio. "Quantum approximate optimization algorithm: combinatorial problems and classical statistical models." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23113/.
Full textBooks on the topic "Quantum optimization"
Feld, Sebastian, and Claudia Linnhoff-Popien, eds. Quantum Technology and Optimization Problems. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14082-3.
Full textDas, Arnab, and Bikas K. Chakrabarti, eds. Quantum Annealing and Other Optimization Methods. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11526216.
Full textCruz-Santos, William, and Guillermo Morales-Luna. Approximability of Optimization Problems through Adiabatic Quantum Computation. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-031-02519-8.
Full textXiao, Chong. Synthesis and Optimization of Chalcogenides Quantum Dots Thermoelectric Materials. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49617-6.
Full textQuantum quenching, annealing and computation. Heidelberg: Springer, 2010.
Find full textNightingale, M. P. Monte Carlo optimization of trial wave functions in quantum mechanics and statistical mechanics. Ithaca, N.Y: Cornell Theory Center, Cornell University, 1996.
Find full textChoi-Hong, Lai, and Wu Xiao-Jun, eds. Particle swarm optimisation: Classical and quantum perspectives. Boca Raton: CRC Press, 2011.
Find full textAntonelli, P. L. Finslerian Geometries: A Meeting of Minds. Dordrecht: Springer Netherlands, 2000.
Find full textLoss, Michael. Inequalities: Selecta of Elliott H. Lieb. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002.
Find full textLieb, Elliott H. The stability of matter: From atoms to stars : selecta of Elliott H. Lieb. Berlin: Springer-Verlag, 1991.
Find full textBook chapters on the topic "Quantum optimization"
Yamakami, Tomoyuki. "Quantum Optimization Problems." In Unconventional Models of Computation, 300–314. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45833-6_25.
Full textKommadi, Bhagvan. "Quantum Optimization Algorithms." In Quantum Computing Solutions, 125–38. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6516-1_6.
Full textFefferman, Charles L., and Luis A. Seco. "Interval Arithmetic in Quantum Mechanics." In Applied Optimization, 145–67. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-3440-8_7.
Full textDu, 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.
Full textProtopopescu, V., and J. Barhen. "Quantum Algorithm for Continuous Global Optimization." In Applied Optimization, 293–303. Boston, MA: Springer US, 2005. http://dx.doi.org/10.1007/0-387-24255-4_13.
Full textKasirajan, Venkateswaran. "Adiabatic Optimization and." In Fundamentals of Quantum Computing, 365–73. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63689-0_8.
Full textChandra, Anjan Kumar, and Bikas K. Chakrabarti. "Optimization and Quantum Annealing." In Computational Statistical Physics, 251–77. Gurgaon: Hindustan Book Agency, 2011. http://dx.doi.org/10.1007/978-93-86279-50-7_9.
Full textCariolaro, Gianfranco. "Quantum Decision Theory: Analysis and Optimization." In Quantum Communications, 183–249. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15600-2_5.
Full textAnschuetz, Eric, Jonathan Olson, Alán Aspuru-Guzik, and Yudong Cao. "Variational Quantum Factoring." In Quantum Technology and Optimization Problems, 74–85. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14082-3_7.
Full textBhattacharyya, Siddhartha, Mario Köppen, Elizabeth Behrman, and Ivan Cruz-Aceves. "Function Optimization Using IBM Q." In Hybrid Quantum Metaheuristics, 37–56. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003283294-3.
Full textConference papers on the topic "Quantum optimization"
Bantysh, Boris I., and Yurii I. Bogdanov. "Quantum tomography for quantum systems optimization." In International Conference on Micro- and Nano-Electronics 2021, edited by Konstantin V. Rudenko and Vladimir F. Lukichev. SPIE, 2022. http://dx.doi.org/10.1117/12.2624610.
Full textEl Gaily, Sara, and Sandor Imre. "Constrained Quantum Optimization Algorithm." In 2021 20th International Symposium INFOTEH-JAHORINA (INFOTEH). IEEE, 2021. http://dx.doi.org/10.1109/infoteh51037.2021.9400679.
Full textGolden, John, Andreas Bartschi, Daniel O'Malley, and Stephan Eidenbenz. "Threshold-Based Quantum Optimization." In 2021 IEEE International Conference on Quantum Computing and Engineering (QCE). IEEE, 2021. http://dx.doi.org/10.1109/qce52317.2021.00030.
Full textChen, Yanzhu, Linghua Zhu, Nicholas J. Mayhall, Edwin Barnes, and Sophia E. Economou. "How Much Entanglement Do Quantum Optimization Algorithms Require?" In Quantum 2.0. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/quantum.2022.qm4a.2.
Full textLi, Fei, Yuting Zhang, Jiulong Wu, and Haibo Li. "Quantum bacterial foraging optimization algorithm." In 2014 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2014. http://dx.doi.org/10.1109/cec.2014.6900230.
Full textKerenidis, Iordanis, Anupam Prakash, and Dániel Szilágyi. "Quantum Algorithms for Portfolio Optimization." In AFT '19: 1st ACM Conference on Advances in Financial Technologies. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3318041.3355465.
Full textGacon, Julien, Christa Zoufal, and Stefan Woerner. "Quantum-Enhanced Simulation-Based Optimization." In 2020 IEEE International Conference on Quantum Computing and Engineering (QCE). IEEE, 2020. http://dx.doi.org/10.1109/qce49297.2020.00017.
Full textGuzik, Vyacheslav, Sergey Gushanskiy, Evgeny Kubrakov, and Maxim Polenov. "Quantum gates transform optimization algorithm for quantum computer modeling." In 2015 9th International Conference on Application of Information and Communication Technologies (AICT). IEEE, 2015. http://dx.doi.org/10.1109/icaict.2015.7338573.
Full textEnomoto, Yutaro, Keitaro Anai, Kenta Udagawa, and Shuntaro Takeda. "Quantum Approximate Optimization for Continuous Problems on a Programmable Photonic Quantum Computer." In Frontiers in Optics. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/fio.2022.fm5b.3.
Full textGupta, Ratnesh K., Jesse L. Everett, Aaron D. Tranter, René Henke, Vandna Gokhroo, Ping Koy Lam, and Síle Nic Chormaic. "Machine learner optimization of atom loading in optical nanofiber evanescent dipole traps." In Quantum 2.0. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/quantum.2022.qw2a.45.
Full textReports on the topic "Quantum optimization"
Bilbro, Griff. Quantum Optimization. Fort Belvoir, VA: Defense Technical Information Center, August 2000. http://dx.doi.org/10.21236/ada384604.
Full textParekh, Ojas D., Ciaran Ryan-Anderson, and Sevag Gharibian. Quantum Optimization and Approximation Algorithms. Office of Scientific and Technical Information (OSTI), January 2019. http://dx.doi.org/10.2172/1492737.
Full textAdachi, Steven, João Caldeira, Andrea Delgado, Kathleen Hamilton, Travis Humble, Joshua Job, James Kowalkowski, et al. HEP ML/Optimization Go Quantum – QuantISED Pilot. Office of Scientific and Technical Information (OSTI), April 2020. http://dx.doi.org/10.2172/1616301.
Full textRuskai, Mary Beth. Optimization of Communication in Noisy Quantum Channels. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada413565.
Full textParekh, Ojas D., Jeremy D. Wendt, Luke Shulenburger, Andrew J. Landahl, Jonathan Edward Moussa, and John B. Aidun. Benchmarking Adiabatic Quantum Optimization for Complex Network Analysis. Office of Scientific and Technical Information (OSTI), April 2015. http://dx.doi.org/10.2172/1459086.
Full textNielsen, Erik, Xujiao Gao, Irina Kalashnikova, Richard Partain Muller, Andrew Gerhard Salinger, and Ralph Watson Young. QCAD simulation and optimization of semiconductor double quantum dots. Office of Scientific and Technical Information (OSTI), December 2013. http://dx.doi.org/10.2172/1204068.
Full textCoffrin, Carleton James. Challenges with Chains: Testing the Limits of a D-Wave Quantum Annealer for Discrete Optimization. Office of Scientific and Technical Information (OSTI), February 2019. http://dx.doi.org/10.2172/1498001.
Full textHandel, Peter H. Quantum 1/f Optimization of New Materials and Devices, Multiplexers, Low-Power Electronics and Investigation of 1/f Negative Entropystates. Fort Belvoir, VA: Defense Technical Information Center, February 1999. http://dx.doi.org/10.21236/ada380319.
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