Quantum Equilibria API
The public surface separates the compact statevector circuit, external circuit adapter, image reducer, equilibrium model, and result object. The derivation and source-scale protocol are in Quantum Equilibria.
silva_networks.quantum_equilibria
Quantum-circuit transitions solved as SILVA equilibria.
The architecture follows Schleich et al., "Quantum Deep Equilibrium Models" (NeurIPS 2024): image features are injected into a quantum-circuit transition, the measured state is solved implicitly or by finite tied steps, and a classical readout produces task outputs. A compact statevector circuit keeps small experiments executable; any shape-compatible circuit module can replace it.
SILVAStatevectorQuantumCircuit
Bases: Module
Small differentiable circuit matching the QDEQ transition contract.
The default uses amplitude encoding, a deterministic fixed circuit, the
source trainable RX/RY/RZ/CRX pattern, fixed H/SX/CNOT gates, Pauli-Z
measurements, and interpolation back to output_dim features.
SILVAQuantumCircuitAdapter
Bases: Module
Validate an external circuit module against the SILVA state contract.
SILVAQuantumImageFilter
Bases: Module
Source-aligned grayscale image reduction to n_qubits**2 features.
SILVAQuantumDEQOutput
dataclass
Task prediction, measured equilibrium state, and solver diagnostics.
SILVAQuantumDEQ
Bases: Module
Quantum-circuit equilibrium with direct, warmup, and implicit execution.
Where to Go Next
| Question | Page |
|---|---|
| How is the circuit transition derived? | Quantum Equilibria |
| How is the source architecture reconstructed? | Source Architecture Mapping |
| Where is it executed end to end? | QDEQ Lab |