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Machine learning & artificial intelligence in the quantum domain: a review of recent progress
Vedran Dunjko1,2, Hans J Briegel1,3
1Institute for Theoretical Physics, University of Innsbruck, Innsbruck 6020, Austria.
Summary
Quantum computing and machine learning (ML) are merging, with quantum computing accelerating ML tasks and ML aiding quantum technologies. This synergy explores mutual benefits and quantum generalizations of intelligence.
Area of Science:
- Interdisciplinary research at the intersection of quantum information science and artificial intelligence (AI) / machine learning (ML).
- Exploration of quantum generalizations of learning and AI concepts.
Background:
- Quantum information technologies and intelligent learning systems are emergent fields with transformative potential.
- These fields have historically been researched independently, but recent work explores their mutual benefits.
- Quantum ML investigates how quantum computing and ML can solve each other's problems.
Purpose of the Study:
- To review the main ideas, recent developments, and progress in ML and AI within the quantum domain.
- To highlight the synergistic relationship and mutual benefits between quantum information and ML/AI.
- To explore fundamental questions regarding quantum generalizations of learning and intelligence.
Main Methods:
- Review of recent research at the intersection of quantum computing, ML, and AI.
- Analysis of quantum speed-ups for ML problems and ML applications in quantum technologies.
- Examination of theoretical demonstrations of quantum-enhanced learning agents and AI in quantum experiment design.
Main Results:
- Quantum computing offers significant speed-ups for ML, crucial for big data analysis.
- ML techniques are becoming instrumental in advancing quantum technologies and optimizing quantum experiments.
- Quantum enhancements have been demonstrated for learning agents, and AI is beginning to assist in quantum research autonomously.
- Research is progressing on quantum generalizations of ML and AI concepts.
Conclusions:
- The convergence of quantum information and ML/AI presents significant opportunities for technological advancement.
- Mutual enhancements are evident, with quantum computing accelerating ML and ML aiding quantum systems.
- Future research will likely explore deeper integration and fundamental questions about quantum intelligence.
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