The development of AGI primarily relies on advances in algorithms, machine learning techniques, and computational power. While quantum computers may offer certain advantages in specific AI tasks, such as optimizing algorithms or solving complex optimization problems, they are not considered a prerequisite for achieving AGI.
The current state-of-the-art AI systems, such as deep learning models, are primarily built and trained on classical computers.
Quantum computers may potentially enhance certain aspects of AI, such as speeding up certain computations, handling large-scale data, or enabling more efficient machine learning algorithms. But the full impact and potential of quantum AI are still being explored.
The development of AGI is more closely tied to advances in AI algorithms, techniques, and computational power, which can be achieved with digital (classical) computers.