Consensus-based qubit configuration optimization for variational algorithms on neutral atom quantum systems.
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ABSTRACT: We report an algorithm that is able to tailor qubit interactions for individual variational quantum algorithm problems. The algorithm leverages the unique ability of a neutral atom tweezer platform to realize arbitrary qubit position configurations. These configurations determine the degree of entanglement available to a variational quantum algorithm via the interatomic interactions. Good configurations will accelerate pulse optimization convergence and help mitigate barren plateaus. As gradient-based approaches are ineffective for position optimization due to the divergent R -6 nature of Rydberg interactions, we opt to use a consensus-based algorithm. By sampling configuration space instead of using gradient information, the consensus-based algorithm is able to su
SUBMITTER: de Keijzer RJPT
PROVIDER: S-EPMC12660136 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature
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