Verbundprojekt: Quantum methods and benchmarks for resource allocation (QuBRA); Teilvorhaben: QSE Quanten-software-engineering
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Hannover : Technische Informationsbibliothek
Supplementary Material
https://doi.org/10.1145/3579027.3608971
https://doi.ieeecomputersociety.org/10.1109/Q-SE59154.2023.00012
https://doi.org/10.1007/978-3-031-64136-7_12
https://doi.org/10.1145/3643667.3648221
https://doi.org/10.18420/inf2024_43
https://doi.org/10.1109/Q-SE66736.2025.00008
https://doi.org/10.1145/3720433
https://doi.ieeecomputersociety.org/10.1109/Q-SE59154.2023.00012
https://doi.org/10.1007/978-3-031-64136-7_12
https://doi.org/10.1145/3643667.3648221
https://doi.org/10.18420/inf2024_43
https://doi.org/10.1109/Q-SE66736.2025.00008
https://doi.org/10.1145/3720433
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Abstract
Quantum computers promise to tackle optimization problems that are extremely difficult for today’s classical computers. Many of these problems arise directly in industry, for example in vehicle configuration, supply chain design, fleet management, job-shop scheduling, and the Internet of Things. However, it remains an open question whether near-term quantum devices, from NISQ devices to full fault-tolerant quantum computers, can provide a practical advantage.
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Creative Commons Attribution-NonDerivs 3.0 Germany