QuCAI-Lab

Quantum-Classical Artificial Intelligence Laboratory

Advancing the Next Generation of Quantum Compilers

About

We make quantum programs run better on real hardware by replacing heuristic compilation methods with learning-based optimization.

Heuristic baselines do not scale well with quantum circuit size and complexity. To circumvent this problem, QuCAI-Lab is building the first ML-native quantum compiler stack. We develop machine learning systems that learn how to translate quantum circuits into hardware instructions, enabling continuously improving compilation strategies that adapt to evolving hardware and workloads.

Services

Here is what we can do for your R&D team:

1. Integrate machine learning methods into strategic stages of the quantum compilation pipeline.

2. Analyze SoTA compilation pipelines and identify performance bottlenecks across the stack.

3. Provide technical training in quantum computing and machine learning, enabling R&D teams to evaluate candidate approaches and prioritize the most promising research direction, reducing overall development time.