Quantum AI for Mission-Critical Systems: A Systematic Survey
A new paper surveys Quantum Artificial Intelligence (QAI) methods for mission-critical systems including defense, energy, cybersecurity, and aerospace. QAI combines AI with quantum computing to address limitations of classical ML in robustness, timing, explainability, and safety. The paper distinguishes QAI from Quantum Machine Learning (QML), noting QAI encompasses optimization, search, and reasoning. It provides a systematic survey of QAI techniques analyzed through a mission-critical lens.
Key facts
- QAI is the fusion of AI and quantum computing.
- Mission-critical domains include defense, energy, cybersecurity, and aerospace.
- Classical AI struggles with robustness, timing, explainability, and safety in these domains.
- QAI is broader than QML, including quantum optimization, search, and reasoning.
- The paper is a systematic survey of QAI methods for mission-critical systems.
- QAI can potentially provide transformative solutions to classical ML challenges.
- The survey analyzes QAI methods through a mission-critical lens.
- The paper is available on arXiv with ID 2511.09884.
Entities
Institutions
- arXiv