Quantum Computing Unlikely to Revolutionize Artificial Intelligence Anytime Soon Says Filippo Vicentini

The promise of quantum computing revolutionizing artificial intelligence, particularly deep learning, has been a topic of great interest in recent years. However, a growing consensus suggests that this may not be within reach as quickly as expected. According to Filippo Vicentini, Assistant Professor of AI and Quantum Physics at Ecole Polytechnique, the difficulties in processing information from neural networks and voluminous data hinder the advancement of AI through quantum computing. Despite companies like Google, Amazon, and Microsoft promising to solve small real-world problems within the next few years, the limitations of quantum computers, including their slow speed and short calculation capabilities, make them less compatible with AI than initially thought. Researchers like Torsten Hoefler, Thomas Häner, and Matthias Troyer have also highlighted these challenges in a recent paper. Meanwhile, machine learning is becoming an essential tool for designing and operating quantum computers, with companies like Q-CTRL pioneering this field.