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I describe how real quantum annealers may be used to perform local (in state space) searches around specified states, rather than the global searches traditionally implemented in the quantum annealing algorithm.
P. Ehrenfest, Adiabatic Invarients and the Theory of Quanta Verslagen Kon. Akad. Amserdam 25 , 412 (1916)
1916
Earlier work this paper cites.
Born, M. Fock, V. Beweis des Adiabatensatzes, Zeitschrift fur Physik, 51, 3, 165-180 (1928)
1928
Earlier work this paper cites.
Wootters, W. K. and Zurek, W. H. A single quantum cannot be cloned, Nature 299, 802 - 803 (1982)
1982
Earlier work this paper cites.
Swendsen, R. H. and Wang, J.-S. Replica Monte Carlo Simulation of Spin-Glasses, Phys. Rev. Lett. 57, 2607 (1986)
1986
Earlier work this paper cites.
Finilla A.B., Gomez M.A., Sebenik C, Doll D. J. Quantum annealing: a new method for minimizing multidimensional functions. Chem Phys Lett. 219:343–348 (1994)
1994
Earlier work this paper cites.
E. Farhi and S. Gutmann, Quantum computation and decision trees, Phys. Rev. A 58, 915 (1998)
1998
Earlier work this paper cites.
Brooke, J., Bitko, D., Rosenbaum, T. F. & Aeppli, G. Quantum annealing of a disordered magnet. Science 284, 779–781 (1999)
1999
Earlier work this paper cites.
Farhi, E. et al. A quantum adiabatic evolution algorithm applied to random instances of an NP-complete problem. Science 292, 472–475 (2001)
2001
Earlier work this paper cites.
Breuer H.-P., Petruccione F. The Theory of Open Quantum Systems, Oxford University press, pg. 105-120 (2002)
2002
Earlier work this paper cites.
Santoro, G. E. Martonak, R. Erio Tosatti, Roberto Car Theory of Quantum Annealing of an Ising Spin Glass, Science 295 2427-2430 (2002)
2002
Earlier work this paper cites.
Martonak, R. Santoro, G. E. and Tosatti, E. Quantum annealing by the path-integral Monte Carlo method: The two-dimensional random Ising model, Phyrsical Review B 66, 094203 (2002)
2002
Earlier work this paper cites.
K. Hukushima and Y. Iba, in The Monte Carlo Method in the Physical Sciences: Celebrating the 50th Anniversary of the Metropolis Algorithm, edited by J. E. Gubernatis, vol. 690, pp. 200-206. (AIP, 2003)
2003
Earlier work this paper cites.
N. Shenvi, J. Kempe, and K. B. Whaley. A quantum random walk search algorithm. Phys. Rev. A, 67:052307, (2003)
2003
Earlier work this paper cites.
A. M. Childs, J. Goldstone Spatial search by quantum walk. Phys. Rev. A 70, 022314 (2004)
2004
Earlier work this paper cites.
Bissell, C.C. A great disappearing act: the electronic analogue computer. In: IEEE Conference on the History of Electronics, 28-30 Jun 2004, Bletchley, UK
2004
Earlier work this paper cites.
Earl, D. J. and Deem, M. W. Parallel Tempering: Theory, Applications, and New Perspectives Phys. Chem. Chem. Phys.7, 3910-3916 (2005)
2005
Earlier work this paper cites.
Jordan, S. P. Farhi, E. and Shor, P. W. Error-correcting codes for adiabatic quantum computation Phys. Rev. A 74, 052322 (2006)
2006
Earlier work this paper cites.
Le Ballac M. Quantum Physics Cambridge University Press pg. 273-278 (2006)
2006
Earlier work this paper cites.
2010
Cited alongside, same era.
Machta, J. Population Annealing with Weighted Averages: A Monte Carlo Method for Rough Free Energy Landscapes Phys. Rev. E 82, 026704 (2010)
2010
Cited alongside, same era.
Johnson, M. W. et. al. A scalable control system for a superconducting adiabatic quantum optimization processor Supercond. Sci. Technol. 23, 065004 (2010)
2010
Cited alongside, same era.
R. Harris et al. Experimental demonstration of a robust and scalable flux qubit Physical Review B 81, 134510 (2010)
2010
Cited alongside, same era.
Perdomo-Ortiz, A., Venegas-Andraca, S.E. & Aspuru-Guzik, A. Quantum Inf Process (2011) 10: 33. doi:10.1007/s11128-010-0168-z
2011
Ronnow, T. F. et. al. Defining and detecting quantum speedup Science 345, 420 (2014)
2014
Later among the works it cites.
Ronnow, T. F. et. al. Defining and detecting quantum speedup, Science 345, 420 (2014)
2014
Later among the works it cites.
2015
Later among the works it cites.
Wang, W. Machta, J. Katzgraber, H. G. Population annealing: Theory and application in spin glasses Phys. Rev. E 92, 063307 (2015)
2015
Later among the works it cites.
Zhu, Z. Ochoa, A. J. Katzgraber, H. G. Efficient Cluster Algorithm for Spin Glasses in Any Space Dimension Phys. Rev. Lett. 115, 077201 (2015)
2015
Later among the works it cites.
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alphaXiv is searching for related work…
Cited alongside, same era.
Denil, M. and de Freitas, N. (2011). Toward the implementation of a quantum RBM. NIPS*2011 Workshop on Deep Learning and Unsupervised Feature Learning
2011
Cited alongside, same era.
Cheung, D. Hoyer, P. Wiebe, N. Improved Error Bounds for the Adiabatic Approximation, J. Phys. A: Math. Theor. 44 415302 (2011)
2011
Cited alongside, same era.
Johnson, M. W. et. al. Quantum annealing with manufactured spins Nature 473, 194–198 (2011)
2011
Cited alongside, same era.
Otsubo, Y. et al. Effect of quantum fluctuation in error-correcting codes. Phys. Rev. E 86,
2012
Cited alongside, same era.
Dickson, N. G. et. al. Thermally assisted quantum annealing of a 16-qubit problem, Nature Communications 4, 1903 (2013)
2013
Cited alongside, same era.
Young, K.C. Blume-Kohout, R. Lidar, D. A. Adiabatic quantum optimization with the wrong Hamiltonian, Phys. Rev. A 88, 062314 (2013)
2013
Cited alongside, same era.
Rose, G. First ever DBM trained using a quantum computer. https://dwave.wordpress.com/2014/01/06/first - ever - dbm - trained - using - a - quantum - computer (2014)
2014
Cited alongside, same era.
Amin, M. H. S.; Johnson, M. W. SYSTEMS AND METHODS EMPLOYING NEW EVOLUTION SCHEDULES IN AN ANALOG COMPUTER WITH APPLICATIONS TO DETERMINING ISOMORPHIC GRAPHS AND POST-PROCESSING SOLUTIONS patent application number: 20150363708 December 17, 2015
2015
Later among the works it cites.
2015
Later among the works it cites.
2015
Later among the works it cites.
Heim, B. Ronnow, T. F. Isakov, S. V. Troyer, M.Quantum versus classical annealing of Ising spin glasses, Science 348 215-217 (2015)
2015
Later among the works it cites.
M. Benedetti, J. Realpe—Gómez, R. Biswas, and A. Perdomo-Ortiz, Estimation of effective temperatures in quantum annealers for sampling applications: A case study with possible applications in deep learning. Phys. Rev. A, 94:022308, Aug 2016
2016
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Chancellor, N. Szoke, S. Vinci, W. Aeppli, G. and Warburton, P. A. Maximum-Entropy Inference with a Programmable Annealer Scientific Reports 6, 22318 (2016)
2016
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http://www.dwavesys.com/ accessed: March 8, 2016
2016
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Denchev, V. S. et. al. What is the Computational Value of Finite Range Tunneling? Phys. Rev. X 6, 031015 (2016)
2016
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Boixo, S. et. al. Computational Role of Multiqubit Tunneling in a Quantum Annealer Nature Communications 7:10327 (2016)
2016
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2016
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Isakov, S. V. et. al. Understanding Quantum Tunneling through Quantum Monte Carlo Simulations Phys. Rev. Lett. 117, 180402 (2016)
2016
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