Abstract
Quadratic Unconstrained Binary Optimization (QUBO) can be seen as a generic language for optimization problems. QUBOs attract particular attention since they can be solved with quantum hardware, like quantum annealers or quantum gate computers running QAOA. In this paper, we present two novel QUBO formulations for k-SAT and Hamiltonian Cycles that scale significantly better than existing approaches. For k-SAT we reduce the growth of the QUBO matrix from O(k) to O(log(k)). For Hamiltonian Cycles the matrix no longer grows quadratically in the number of nodes, as currently, but linearly in the number of edges and logarithmically in the number of nodes. We present these two formulations not as mathematical expressions, as most QUBO formulations are, but as meta-algorithms that facilitate the design of more complex QUBO formulations and allow easy reuse in larger and more complex QUBO formulations.
Original language | English |
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Title of host publication | GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference |
Publisher | ACM |
Pages | 2240-2246 |
Number of pages | 7 |
ISBN (Electronic) | 978-1-4503-9268-6 |
DOIs | |
Publication status | Published - 2022 |
Event | 2022 Genetic and Evolutionary Computation Conference, GECCO 2022 - Virtual, Online, United States Duration: 9 Jul 2022 → 13 Jul 2022 |
Publication series
Name | GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference |
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Conference
Conference | 2022 Genetic and Evolutionary Computation Conference, GECCO 2022 |
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Country/Territory | United States |
City | Virtual, Online |
Period | 9/07/22 → 13/07/22 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Keywords
- hamiltonian cycle
- ising
- k-SAT
- QUBO
- satisfiability