Ongoing. Quantum compilers re-solve synthesis from scratch for every hardware configuration. This project designs a unified adaptive ML model — built on generative adversarial imitation learning (GAIL) — to optimize Rz/unitary synthesis and quantum compilation for varied, dynamic hardware configurations.
Paper#
Preprint coming.
Code#
Code available upon request — public release coming soon.