In fact, the development of AI does not necessarily depend on quantum computing at all. AI refers to the field of computer science and technology that aims to create intelligent machines capable of performing tasks that would typically require human intelligence.
Classical computers, based on traditional binary logic, have been used to develop a wide range of AI applications, including natural language processing, computer vision, speech recognition, and more.
Classical computing systems, when appropriately designed and optimized, can handle many complex AI tasks effectively.
AI research involves areas such as cognitive science, neuroscience, psychology, linguistics, and more. Additionally, advancements in algorithmic techniques, data availability, computational power, and model architectures all contribute to the progress of AI.
Researchers and scientists continue to explore and develop AI techniques using classical computing and other methods, pushing the boundaries of what machines can accomplish in terms of intelligence and cognitive capabilities.