| 001 | 916764 | ||
| 005 | 20230123101908.0 | ||
| 024 | 7 | _ | |a 2128/33364 |2 Handle |
| 037 | _ | _ | |a FZJ-2023-00088 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Willsch, Dennis |0 P:(DE-Juel1)167542 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a INQA Conference |c London |d 2022-11-09 - 2022-11-11 |w United Kingdom |
| 245 | _ | _ | |a Applications on quantum annealers at FZJ |
| 260 | _ | _ | |c 2022 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a Other |2 DataCite |
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| 520 | _ | _ | |a Quantum annealing is a new computer technology that gradually becomes ready totackle small real-world applications. In this talk, I will give an overview ofrecent applications that we studied on the currently largest quantum annealers,the 5000+ qubit quantum annealer Advantage and its 2000+ qubit predecessorD-Wave 2000Q. The applications contain (1) vegetable garden optimization, (2)exact cover problems for airline scheduling, (3) the traveling salesmanproblem, (4) hard 2SAT problems, (5) quantum support vector machines forapplications in computational biology and remote sensing, and (6) quantumBoltzmann machines with applications in quantitative finance. All problemsserve as benchmarks to measure progress but also limitations of the currentgeneration of quantum computers. |
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| 856 | 4 | _ | |u https://www.youtube.com/watch?v=ieEXs9gbioY |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/916764/files/inqa-conference-quantum-annealing-applications-at-fzj.pdf |y OpenAccess |
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| 914 | 1 | _ | |y 2022 |
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