APGEM: Adaptive Policy-Guided Error Mitigation for Quantum Reinforcement Learning on a Real-World CVRP Case Study
A technical paper proposing an error-mitigation method to improve quantum reinforcement learning on a vehicle-routing benchmark, with no direct safety or governance implications.
A technical paper proposing an error-mitigation method to improve quantum reinforcement learning on a vehicle-routing benchmark, with no direct safety or governance implications.
Auto-scored: Incremental quantum-computing capability advance with no identified misuse, weaponization, or governance consequence.