Exploring the Versatility of QAOA: A Comprehensive Review

Quantum Approximate Optimization Algorithm (QAOA) is the notable advancement in quantum computing, which allows us to solve optimization problems differently. In this paper, we provide a detailed investigation of the possible applications of QAOA accompanied by an overview of previous implementations. This is where QAOA shines and can spin out solutions where ordinary methods takes millennia to converge with acceptable results for NP-hard optimization problems that involve transfer of $\mathbf{n}$ qubits between a quantum state. We present a comprehensive literature review in this paper, and potential areas of application where QAOA could be successfully used such as logistics, finance and Artificial Intelligence.