Q-CTRL and Network Rail Demonstrate Large-Scale Quantum Optimization for Rail Scheduling
Q-CTRL has developed a quantum-enhanced solver for rail scheduling in collaboration with Network Rail and the UK Department for Transport. Using its Fire Opal performance optimization platform, Q-CTRL executed real-world scheduling problems on IBM quantum hardware, setting a new record for the largest constrained quantum optimization problem solved to date. The approach enabled accurate train […]
The post Q-CTRL and Network Rail Demonstrate Large-Scale Quantum Optimization for Rail Scheduling appeared first on Quantum Computing Report.
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