New Features
- **PyTorch Integration**:
- Support for PyTorch as a backend engine is now available, while maintaining backward compatibility with NumPy.
- Computation of decoherence times now supports autodifferentiation, including contributions to $T_1$ from capacitive, inductive, and quasiparticle noise sources.
- Computation of dephasing decoherence times $T_\phi$ also supports backpropagation, including custom gradient calculations.
- **Automatic Gradient Computation**:
- Automatic computation of gradients through autodifferentiation is now fully supported.
- **Extended Testing Modules**:
- New gradient-based operations have been added to the test modules.
- **Gradient Tests**: Ensure the accuracy of gradients across multiple circuit classes using first-order approximations.