Saif Al‐Kuwari

Dynamic depth quantum approximate optimization algorithm for solving constrained shortest path problem

Abstract The Quantum Approximate Optimization Algorithm (QAOA) has emerged as a promising approach for solving NP-hard combinatorial optimization problems on noisy intermediate-scale quantum (NISQ) hardware. However, its performance critically depends on the choice of circuit dep...

Challenge-response quantum reinforcement learning with application to quantum-assisted authentication

Abstract Quantum reinforcement learning (QRL) has emerged as a promising research direction that integrates quantum information processing into reinforcement learning frameworks. While many existing QRL studies apply quantum agents to classical environments, it has been realized...