arXiv:2607.00365v1 Announce Type: cross Abstract: Artificial intelligence (AI) and quantum information (QI) are rapidly co-evolving. AI is becoming a practical tool for learning, designing, controlling, and verifying quantum systems, while QI offers new computational models, representational structures, and learning-theoretic questions for AI. This survey reviews the interface from both directions. In the AI for QI direction, we organize recent progress around the central tasks of extracting information from limited measurements, training and discovering quantum algorithms, stabilizing noisy h
The accelerating co-evolution of AI and quantum information necessitates a comprehensive review to map the rapidly converging landscape and identify emerging synergies.
This survey provides a foundational understanding of how AI is enhancing quantum systems and how quantum principles are transforming AI, indicating future technological frontiers with profound implications.
The explicit intersection of AI and quantum information is framed as a reciprocal relationship, highlighting a future where these fields are not merely adjacent but deeply integrated and mutually enhancing.
- · Quantum computing companies
- · AI research institutions
- · Governments investing in R&D
- · Advanced technology developers
- · Legacy computational paradigms
- · Industries slow to adapt to quantum-enhanced AI
Further acceleration of research and development at the intersection of AI and quantum information, leading to new algorithms and applications.
The emergence of 'quantum AI' as a distinct and highly specialized field, attracting significant talent and investment and potentially creating new market leaders.
Fundamental shifts in industries reliant on complex optimization, drug discovery, or materials science, as quantum-enhanced AI offers unprecedented computational capabilities.
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