This title appears in the Scientific Report :
2020
Please use the identifier:
http://hdl.handle.net/2128/25976 in citations.
Optimization problems for benchmarking the Hybrid Solver Service version 2 and the Advantage QPU
Optimization problems for benchmarking the Hybrid Solver Service version 2 and the Advantage QPU
We have participated in the D-Wave beta program, organized by D-WaveSystems in anticipation of releasing Advantage(TM), their next generation quantum annealer featuring the new Pegasus architecture, and their newHybrid Solver Service (HSS) in the fall of this year. We present results of solving vari...
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Personal Name(s): | Jattana, Manpreet Singh (Corresponding author) |
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Contributing Institute: |
Jülich Supercomputing Center; JSC |
Imprint: |
2020
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Conference: | CaDS Seminar, Jülich (virtual event) (Germany), |
Document Type: |
Talk (non-conference) |
Research Program: |
Computational Science and Mathematical Methods |
Link: |
OpenAccess |
Publikationsportal JuSER |
We have participated in the D-Wave beta program, organized by D-WaveSystems in anticipation of releasing Advantage(TM), their next generation quantum annealer featuring the new Pegasus architecture, and their newHybrid Solver Service (HSS) in the fall of this year. We present results of solving various types of optimization problems on the Advantage QPU and on the HSS version 2. The first set of optimization problems consists of garden optimization problems, sizeable problems with constraints. The second set of optimization problems comprises of exact cover problems and the third set of 2-SAT problems. |