AI Advances Aid Quantum Computing Development
A multi-author review submitted to arXiv on Nov. 14, 2024, surveys how state-of-the-art AI techniques are advancing quantum computing research and development. It maps applications across the hardware and software stack—device design, control, characterization, algorithms, and applications—highlights opportunities and obstacles, and urges interdisciplinary collaboration to accelerate scalable quantum devices and practical quantum-classical workflows.
Key Points
- 1Surveys state-of-the-art AI methods applied across QC hardware and software stack, from device design to applications
- 2Highlights AI's potential to address QC scaling, control, and characterization challenges for near-term and future devices
- 3Encourages interdisciplinary collaboration and transfer of ML tools, datasets, and benchmarks into quantum research workflows
Scoring Rationale
Comprehensive interdisciplinary review provides strategic guidance across AI and quantum computing, limited by being a literature survey without new empirical breakthroughs.
Sources
Public references used for this report.
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