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This benchmarking study provides critical data for industrial optimization pipelines by rigorously comparing the Fujitsu Digital Annealer against IBM Quantum, D-Wave, and classical solvers on real-world job-shop scheduling tasks. The findings underscore that hardware-software co-design is essential for scalability, demonstrating that tailored problem formulations significantly impact solution quality across different quantum and quantum-inspired platforms.
Fujitsu Digital Annealer boosts industrial solver selection, study finds

A new study benchmarks quantum & classical methods—including the Fujitsu Digital Annealer—on a real-world job-shop scheduling problem.
A head-to-head benchmark of industrial scheduling problems reveals the potential of the Fujitsu Digital Annealer alongside established quantum platforms from IBM Quantum and D-Wave, according to a new study. Researchers rigorously tested these approaches and a classical solver, using a real-world variant of the Job-Shop Scheduling Problem provided by Siemens AG, focusing on practical utility rather than simply claiming speedups. The work demonstrates that hardware-software co-design is essential for both solution quality and scalability, a finding that highlights the need for tailored formulations…
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