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| 001 | 865583 | ||
| 005 | 20210130003059.0 | ||
| 037 | _ | _ | |a FZJ-2019-04948 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Mehta, Vrinda |0 P:(DE-Juel1)176997 |b 0 |u fzj |
| 111 | 2 | _ | |a Fundamental aspects of statistical mechanics and the emergence of thermodynamics in non-equilbrium systems |c Delmenhorst |d 2019-09-23 - 2019-09-26 |w Germany |
| 245 | _ | _ | |a Quantum annealing with anneal path control and catalyst Hamiltonian |
| 260 | _ | _ | |c 2019 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a CONFERENCE_POSTER |2 ORCID |
| 336 | 7 | _ | |a Output Types/Conference Poster |2 DataCite |
| 336 | 7 | _ | |a Poster |b poster |m poster |0 PUB:(DE-HGF)24 |s 1571051878_13206 |2 PUB:(DE-HGF) |x Other |
| 520 | _ | _ | |a Quantum annealing is a quantum version of classical simulated annealing, but using quantum fluctuations instead of thermal fluctuations, to explore the energy landscape of an optimization problem. This approach has received enormous interest in the last two decades, and is regarded as a second model of quantum computing, which is quite distinct to the gate-based model.The standard form of quantum annealer, such as the one that D-Wave Systems Inc. uses, can be described by a transverse-field Ising model. This type of quantum annealer is designed for solving quadratic unconstrained binary optimization problems. While researches on the universality and hypothetical quantum speed up for this type of quantum annealer are still ongoing, here we investigate two different variations of qantum annealer, namely, adding anneal path control and catalyst Hamiltonian to the standard form, respectively. |
| 536 | _ | _ | |a 511 - Computational Science and Mathematical Methods (POF3-511) |0 G:(DE-HGF)POF3-511 |c POF3-511 |f POF III |x 0 |
| 700 | 1 | _ | |a Jin, Fengping |0 P:(DE-Juel1)144355 |b 1 |e Corresponding author |u fzj |
| 700 | 1 | _ | |a De Raedt, Hans |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Michielsen, Kristel |0 P:(DE-Juel1)138295 |b 3 |u fzj |
| 909 | C | O | |o oai:juser.fz-juelich.de:865583 |p VDB |
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| 913 | 1 | _ | |a DE-HGF |b Key Technologies |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-511 |2 G:(DE-HGF)POF3-500 |v Computational Science and Mathematical Methods |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |l Supercomputing & Big Data |
| 914 | 1 | _ | |y 2019 |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a poster |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
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