Architecture

Module Layout

psipose/
├── base.py                      # QuantumEstimator base class
├── encoders/                    # Data encoding circuits
│   ├── _base.py                # BaseEncoder abstract class
│   ├── angle.py                # AngleEncoder
│   └── amplitude.py            # AmplitudeEncoder
├── ansatze/                    # Parameterized quantum circuits
│   ├── _base.py               # BaseAnsatz abstract class
│   ├── hardware_efficient.py   # HardwareEfficientAnsatz
│   └── strongly_entangling.py  # StronglyEntanglingAnsatz
├── estimators/                 # sklearn-compatible estimators
│   ├── vqc.py                 # VQCClassifier
│   ├── qsvc.py                # QSVC
│   └── vqc_regressor.py       # VQCRegressor
└── kernels/                    # Quantum kernels
    └── fidelity.py             # FidelityQuantumKernel

Key Abstractions

Encoder: Takes classical features and applies them to qubits.

Ansatz: A parametrized quantum circuit with trainable weights.

Estimator: The sklearn-compatible class combining encoder + ansatz + optimizer.