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Researchers have developed a formally verified method to compile recursive Datalog programs into 2-local Ising models compatible with quantum annealers like those from D-Wave. This advancement allows specialized hardware to solve knowledge-based problems by finding the minimal Herbrand model of logic programs, bridging the gap between classical logic programming and quantum optimization. The work provides both theoretical guarantees via Lean 4 verification and practical implementation details for mapping these models onto existing quantum hardware.
Compiling Logic Programs for Quantum Annealers

Researchers have compiled logic programs into 2-local Ising models, suitable for solving problems on systems like those from D-Wave. This verified process aims to utilize quantum annealing to find solutions via the machine’s minimal Herbrand model.
Researchers at the University of Tartu and colleagues present a novel method for solving complex computational problems using quantum annealers. They demonstrate a compilation process that transforms recursive Datalog programs into 2-local Ising models, enabling the annealer to find solutions corresponding to the program's minimal Herbrand model. This work advances the field by providing both theoretical guarantees, including correctness lemmas and a correspondence theorem formally verified in Lean 4, and practical implementation, mapping compiled models onto existing quantum annealing hardware. The team…
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