Artificial General Intelligence (AGI) and quantum computing are two of the most significant technological advancements of the twenty-first century. While AGI aims to create machines with general-purpose cognitive abilities comparable to those of humans, quantum computing leverages the unique properties of quantum physics to solve computational problems that are beyond the scope of conventional computers. The convergence of these disciplines may open the way to the development of superintelligent systems by releasing previously unheard-of processing capacity. The ways in which quantum algorithms can enhance AGI are examined in this chapter, with a focus on combining the reasoning and decision-making capabilities of AGI with the computational advantages of quantum computing. We examine key quantum algorithms, such as the Quantum Approximate Optimisation Algorithm (QAOA) and Quantum Machine Learning (QML) techniques, to investigate their suitability in AGI systems. Experimental evidence of the effectiveness of quantum-enhanced AGI algorithms in optimising complex decision-making tasks is shown, along with a discussion of potential future developments and difficulties. The final section of the chapter addresses the moral dilemmas brought up by the use of superintelligent systems and evaluates how quantum-enhanced AGI can promote progress in a variety of domains, including robotics, healthcare, and climate prediction.