Project
Quantum ML
Hybrid classical-quantum experiments that explore how quantum ideas can be studied through small-scale implementations.
This project explores small-scale quantum circuits combined with classical networks for hybrid learning experiments.
Current Direction
- Build intuition for hybrid models through small, readable simulations.
- Compare classical baselines with simple circuit-based alternatives.
- Document useful observations instead of treating the work as a black box demo.