Hybrid quantum annealing for larger-than-QPU lattice-structured problems
In: 2023. ACM Transactions on Quantum Computing; (2022)
Online
report
Quantum processing units (QPUs) executing annealing algorithms have shown promise in optimization and simulation applications. Hybrid algorithms are a natural bridge to additional applications of larger scale. We present a straightforward and effective method for solving larger-than-QPU lattice-structured Ising optimization problems. Performance is compared against simulated annealing with promising results, and improvement is shown as a function of the generation of D-Wave QPU used.
Comment: 21 pages, 15 figures, supplementary code attachment
Titel: |
Hybrid quantum annealing for larger-than-QPU lattice-structured problems
|
---|---|
Autor/in / Beteiligte Person: | Raymond, Jack ; Stevanovic, Radomir ; Bernoudy, William ; Boothby, Kelly ; McGeoch, Catherine ; Berkley, Andrew J. ; Farré, Pau ; King, Andrew D. |
Link: | |
Quelle: | 2023. ACM Transactions on Quantum Computing; (2022) |
Veröffentlichung: | 2022 |
Medientyp: | report |
DOI: | 10.1145/3579368 |
Schlagwort: |
|
Sonstiges: |
|