Literature DB >> 21562559

Quantum annealing with manufactured spins.

M W Johnson1, M H S Amin, S Gildert, T Lanting, F Hamze, N Dickson, R Harris, A J Berkley, J Johansson, P Bunyk, E M Chapple, C Enderud, J P Hilton, K Karimi, E Ladizinsky, N Ladizinsky, T Oh, I Perminov, C Rich, M C Thom, E Tolkacheva, C J S Truncik, S Uchaikin, J Wang, B Wilson, G Rose.   

Abstract

Many interesting but practically intractable problems can be reduced to that of finding the ground state of a system of interacting spins; however, finding such a ground state remains computationally difficult. It is believed that the ground state of some naturally occurring spin systems can be effectively attained through a process called quantum annealing. If it could be harnessed, quantum annealing might improve on known methods for solving certain types of problem. However, physical investigation of quantum annealing has been largely confined to microscopic spins in condensed-matter systems. Here we use quantum annealing to find the ground state of an artificial Ising spin system comprising an array of eight superconducting flux quantum bits with programmable spin-spin couplings. We observe a clear signature of quantum annealing, distinguishable from classical thermal annealing through the temperature dependence of the time at which the system dynamics freezes. Our implementation can be configured in situ to realize a wide variety of different spin networks, each of which can be monitored as it moves towards a low-energy configuration. This programmable artificial spin network bridges the gap between the theoretical study of ideal isolated spin networks and the experimental investigation of bulk magnetic samples. Moreover, with an increased number of spins, such a system may provide a practical physical means to implement a quantum algorithm, possibly allowing more-effective approaches to solving certain classes of hard combinatorial optimization problems.

Year:  2011        PMID: 21562559     DOI: 10.1038/nature10012

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  14 in total

1.  Manipulating the quantum state of an electrical circuit.

Authors:  D Vion; A Aassime; A Cottet; P Joyez; H Pothier; C Urbina; D Esteve; M H Devoret
Journal:  Science       Date:  2002-05-03       Impact factor: 47.728

2.  A quantum adiabatic evolution algorithm applied to random instances of an NP-complete problem.

Authors:  E Farhi; J Goldstone; S Gutmann; J Lapan; A Lundgren; D Preda
Journal:  Science       Date:  2001-04-20       Impact factor: 47.728

3.  Elementary excitations in the cyclic molecular nanomagnet Cr8.

Authors:  O Waldmann; T Guidi; S Carretta; C Mondelli; A L Dearden
Journal:  Phys Rev Lett       Date:  2003-12-04       Impact factor: 9.161

4.  Entangled quantum state of magnetic dipoles.

Authors:  S Ghosh; T F Rosenbaum; G Aeppli; S N Coppersmith
Journal:  Nature       Date:  2003-09-04       Impact factor: 49.962

5.  S mixing and quantum tunneling of the magnetization in molecular nanomagnets.

Authors:  S Carretta; E Liviotti; N Magnani; P Santini; G Amoretti
Journal:  Phys Rev Lett       Date:  2004-05-21       Impact factor: 9.161

6.  Measurements of macroscopic quantum tunneling out of the zero-voltage state of a current-biased Josephson junction.

Authors: 
Journal:  Phys Rev Lett       Date:  1985-10-28       Impact factor: 9.161

7.  Reducing the dimensionality of data with neural networks.

Authors:  G E Hinton; R R Salakhutdinov
Journal:  Science       Date:  2006-07-28       Impact factor: 47.728

8.  Probing noise in flux qubits via macroscopic resonant tunneling.

Authors:  R Harris; M W Johnson; S Han; A J Berkley; J Johansson; P Bunyk; E Ladizinsky; S Govorkov; M C Thom; S Uchaikin; B Bumble; A Fung; A Kaul; A Kleinsasser; M H S Amin; D V Averin
Journal:  Phys Rev Lett       Date:  2008-09-10       Impact factor: 9.161

9.  Demonstration of two-qubit algorithms with a superconducting quantum processor.

Authors:  L DiCarlo; J M Chow; J M Gambetta; Lev S Bishop; B R Johnson; D I Schuster; J Majer; A Blais; L Frunzio; S M Girvin; R J Schoelkopf
Journal:  Nature       Date:  2009-06-28       Impact factor: 49.962

10.  Amplitude spectroscopy of a solid-state artificial atom.

Authors:  David M Berns; Mark S Rudner; Sergio O Valenzuela; Karl K Berggren; William D Oliver; Leonid S Levitov; Terry P Orlando
Journal:  Nature       Date:  2008-09-04       Impact factor: 49.962

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  82 in total

1.  Computing: The quantum company.

Authors:  Nicola Jones
Journal:  Nature       Date:  2013-06-20       Impact factor: 49.962

2.  Thermally assisted quantum annealing of a 16-qubit problem.

Authors:  N G Dickson; M W Johnson; M H Amin; R Harris; F Altomare; A J Berkley; P Bunyk; J Cai; E M Chapple; P Chavez; F Cioata; T Cirip; P Debuen; M Drew-Brook; C Enderud; S Gildert; F Hamze; J P Hilton; E Hoskinson; K Karimi; E Ladizinsky; N Ladizinsky; T Lanting; T Mahon; R Neufeld; T Oh; I Perminov; C Petroff; A Przybysz; C Rich; P Spear; A Tcaciuc; M C Thom; E Tolkacheva; S Uchaikin; J Wang; A B Wilson; Z Merali; G Rose
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

3.  Quantum annealing versus classical machine learning applied to a simplified computational biology problem.

Authors:  Richard Y Li; Rosa Di Felice; Remo Rohs; Daniel A Lidar
Journal:  npj Quantum Inf       Date:  2018-02-21       Impact factor: 7.385

4.  Quantum physics: Keep your feet on the ground.

Authors:  William D Oliver
Journal:  Nature       Date:  2011-05-12       Impact factor: 49.962

5.  Topologically protected quantum state transfer in a chiral spin liquid.

Authors:  N Y Yao; C R Laumann; A V Gorshkov; H Weimer; L Jiang; J I Cirac; P Zoller; M D Lukin
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

6.  Using thermal boundary conditions to engineer the quantum state of a bulk magnet.

Authors:  M A Schmidt; D M Silevitch; G Aeppli; T F Rosenbaum
Journal:  Proc Natl Acad Sci U S A       Date:  2014-02-24       Impact factor: 11.205

7.  A Variable Neighbourhood Descent Heuristic for Conformational Search Using a Quantum Annealer.

Authors:  D J J Marchand; M Noori; A Roberts; G Rosenberg; B Woods; U Yildiz; M Coons; D Devore; P Margl
Journal:  Sci Rep       Date:  2019-09-23       Impact factor: 4.379

Review 8.  Coherence in the Ferroelectric A3ClO (A = Li, Na) Family of Electrolytes.

Authors:  Maria Helena Braga
Journal:  Materials (Basel)       Date:  2021-05-05       Impact factor: 3.623

9.  Quantum processor-inspired machine learning in the biomedical sciences.

Authors:  Richard Y Li; Sharvari Gujja; Sweta R Bajaj; Omar E Gamel; Nicholas Cilfone; Jeffrey R Gulcher; Daniel A Lidar; Thomas W Chittenden
Journal:  Patterns (N Y)       Date:  2021-04-28

10.  Witnessing Quantum Coherence: from solid-state to biological systems.

Authors:  Che-Ming Li; Neill Lambert; Yueh-Nan Chen; Guang-Yin Chen; Franco Nori
Journal:  Sci Rep       Date:  2012-11-26       Impact factor: 4.379

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