Qiskit Fall Fest RGUKT 2026| Asgard Gods | UC-042

RailQuantum | Autonomous Rail Freight Scheduling & Rake Optimization RailQuantum is a hybrid classical-quantum optimization platform designed for autonomous railway freight scheduling and rake optimization. Our system addresses the challenges of allocating freight to rakes while considering capacity constraints, delivery priorities, routing conflicts, maintenance windows, and unexpected disruptions. The project combines classical optimization with quantum computing to formulate railway scheduling decisions as a QUBO and solve them using QAOA, while incorporating feasibility checks and classical verification. Core Capabilities Capacitated freight-to-rake allocation Conflict-free railway path and timetable generation Dynamic recovery from operational disruptions QUBO formulation and QAOA-based optimization Classical verification and benchmarking Technology Stack IBM Qiskit Qiskit Algorithms Aer Simulator Qiskit IBM Runtime compatibility OR-Tools CP-SAT FastAPI React Team: Asgard Gods Project: RailQuantum Problem ID: UC-042 Hackathon: PLUS Qiskit Fall Fest 2026 #RailQuantum #Qiskit #QuantumComputing #QuantumOptimization #QAOA #QUBO #RailwayOptimization #RailFreight #QiskitFallFest #ibm