Ever wondered if quantum can actually outperform classical classifiers today on NISQ hardware?

In QuBridge:
→ PyTorch CNN/MLP extracts rich features
→ PennyLane PQCs classify in high-dimensional Hilbert space
→ Angle vs Amplitude embedding showdown
→ Parameter-Shift training makes it fully differentiable

See how it handles breast cancer data + synthetic moons... quantum edge?

Deep-dive guide: https://medium.com/@makalin/the-quantum-leap-in-ai-building-hybrid-classical-quantum-neural-networks-324dacce5c83

Source codes: https://github.com/makalin/qubridge