Solving the B-SAT Problem Using Quantum Computing: Smaller Is Sometimes Better
This paper aims to outline the effectiveness of modern universal gate quantum computers when utilizing different configurations to solve the B-SAT (Boolean satisfiability) problem. The quantum computing experiments were performed using Grover's search algorithm to find a valid solution. The experiments were performed under different variations to demonstrate their effects on the results. Changing the number of shots, qubit mapping, and using a different quantum processor were all among the experimental variables. The study also branched into a dedicated experiment highlighting a peculiar behavior that IBM quantum processors exhibit when running circuits with a certain number of shots.
Authors
- Gregory T. Byrd (ORCID: https://orcid.org/0000-0003-3647-8738)
- Ahmad Bennakhi (ORCID: https://orcid.org/0000-0002-4269-2856)
- Paul D. Franzon (ORCID: https://orcid.org/0000-0002-6048-5770)
Institutions
- North Carolina State University (US)
Publication Details
- Journal
- Entropy
- Published
- 2024-10-18
- DOI
- https://doi.org/10.3390/e26100875
- Primary Topic
- Quantum Computing Algorithms and Architecture
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Kuwait Institute for Scientific Research