Readiness of Quantum Optimization Machines for Industrial Applications
Alejandro Perdomo-Ortiz, Alexander Feldman, Asier Ozaeta, Sergei V. Isakov, Zheng Zhu, Bryan O’Gorman, Helmut G. Katzgraber, Alexander Diedrich, Hartmut Neven, Johan de Kleer, Brad Lackey, Rupak Biswas · Physical Review Applied · 2019
With quantum computing technologies nearing the era of quantum supremacy, and of commercialization, near-term devices need to be tested with application-driven benchmarks. Here the authors contribute a comprehensive assessment of the readiness of quantum optimization for a real industrial problem: fault diagnosis in digital circuits. From the perspective of physics and application, they investigate the impact of next-generation quantum annealers in direct comparison to state-of-the-art classical heuristics. Although more challenging in nature, these real-world problems provide insight on the real-world performance of quantum optimization machines.