Researchers are examining how artificial intelligence (AI) and quantum computing can work together, particularly in teaching AI to identify and fix errors in quantum computers. This area, known as Quantum AI, has been highlighted as a major trend for 2026 by Forbes. IBM, a leading tech company, plans to achieve a verified quantum advantage—where quantum computers outperform classical ones—by the end of 2026. However, prediction markets and industry experts are cautious about whether these goals can be realistically achieved. Several research institutes, such as IVADO, are developing hybrid algorithms that merge the power of quantum computing with the flexibility of AI. These algorithms aim to speed up discoveries in materials science and molecular structures, particularly in areas where classical computers struggle. In November 2025, IBM introduced its Nighthawk processor, a step toward achieving its quantum advantage goal. The growing interest in the intersection of quantum computing, AI, and neuromorphic engineering—mimicking the human brain’s structure—has even led to the formation of a university chapter focused on this emerging field. In laboratories, AI is being used to help quantum computers by identifying and correcting errors in qubits, the basic units of quantum information. Google's AlphaQubit, a neural network developed by DeepMind, uses a two-layer approach to detect and correct these errors more effectively than existing methods. The system was trained on simulated error data and refined with real data from Google's Sycamore processor. This research is moving toward real-world applications, with startups like Alice & Bob partnering with NVIDIA on NVQLink, a system that connects graphics processors with quantum computers for real-time error correction. In France, the PROQCIMA program has selected five companies to develop a fault-tolerant quantum computer, with funding decreasing over time. The goal is to reach 128 logical qubits by 2030 and 2,048 by 2035. Supported by European and private funding, France's quantum strategy aims to invest 3 billion euros in quantum technologies between 2026 and 2030. Meanwhile, public investments in quantum computing remain strong globally, with the United States, China, the European Union, and the United Kingdom maintaining national programs focused on cryptographic security. In the U.S., federal agencies are required to switch to quantum-resistant encryption algorithms by 2030 for key exchange and 2031 for digital signatures. In France, the ANSSI will stop accepting products without post-quantum cryptography starting in 2027. Experts remain skeptical about immediate breakthroughs in quantum computing, emphasizing steady engineering progress over sudden leaps. While some companies, like Xanadu, expect to demonstrate quantum computing's potential in fields like quantum chemistry and materials science, others believe certain approaches may be abandoned by 2026 if they fail to deliver results. Despite these challenges, the focus remains on practical applications rather than the pursuit of a hypothetical "super-intelligence."