AI for Quantum:
Algorithms &
Applications
An annual workshop series bringing together researchers from quantum algorithms, AI / ML, HPC, and quantum engineering to advance AI-native quantum algorithm design.
Why this workshop
The development of practical quantum algorithms is increasingly limited not only by hardware constraints, but by the difficulty of discovering, optimizing, and generalizing algorithms across problem instances, system sizes, and hardware backends.
Artificial intelligence is rapidly emerging as a transformative tool for addressing these challenges — enabling automated exploration of quantum algorithm spaces far beyond human intuition. This series focuses on agentic AI for algorithm discovery, generative models for generalization, and AI-driven techniques for state preparation and parameter transfer.
By bringing together researchers from quantum algorithms, AI / ML, HPC, and quantum engineering, the workshop aims to identify common challenges, shared abstractions, and concrete opportunities for collaboration, emphasizing actionable lessons, open research questions, and community-driven directions for advancing AI-native quantum algorithm design.
Target audience: quantum algorithm researchers and developers, AI/ML researchers interested in scientific discovery and generative modeling, quantum software engineers, and industry practitioners working on quantum platforms.
Research topics
Each edition is structured around three thematic sessions that span the full AI × quantum pipeline.
Agentic AI
- Automated quantum circuit discovery
- Reinforcement learning for algorithm design
- LLM-assisted quantum program synthesis
- Evolutionary and search-based methods
- Hybrid agentic workflows for NISQ and FT
Generative AI
- Diffusion models for quantum states
- Foundation models for quantum algorithms
- Generalization across Hamiltonians
- Data generation and augmentation
- Learned ansätze for VQE & QAOA
Parameter Transfer & Scaling
- Cross-problem parameter reuse
- Graph-learning for QAOA warm-starts
- Transfer across hardware backends
- Scalable state preparation
- Resource estimation and benchmarking
Workshop editions
AI4Q is held annually at IEEE Quantum Week.
Steering committee
AI4Q is organized by researchers from NVIDIA and Quantinuum.
For specific edition details and contact information, see the individual event pages.