Quantum Machine Learning (QML) for High-Dimensional Perception
Parameterized quantum neural networks (QNN) projecting high-dimensional multi-sensor LiDAR/radar embeddings into exponentially expansive Hilbert spaces.
Quantum Kernel Ridge Classifiers
Quantum kernel estimation calculates inner products across quantum states, untangling complex occlusion edge cases where classical convolutional models fail.
- Exponential feature space expansion with linear qubit scaling.
- Immunity to adversarial noise injections on perception embeddings.
- Hybrid quantum-classical training pipelines using PyTorch and Qiskit.
- Near-term deployment models combining classical edge GPUs with cloud QPUs.
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