Approximate quantum compilation (AQC-Tensor) release notes

0.2.0

Prelude

This release renames the primary objective to MaximizeStateFidelity and adds support for Qiskit 2.0.

New Features

• Adds the parametrize_circuit() function for generating a parametrized version of a given circuit. In contrast to generate_ansatz_from_circuit(), parametrize_circuit does not change the types of gates in the circuit. It simply replaces numerical parameters with free parameters.

• Support for Python 3.13.

Upgrade Notes

• The OneMinusFidelity objective function has been renamed and is now known as MaximizeStateFidelity. As a related change, one should now call the loss_function() method to obtain the value and gradient of the loss function, instead of calling the instance directly (through its __call__ method).

• Qiskit SDK version 1.3 or higher is now required. Qiskit SDK version 2.0 is now supported.

Bug Fixes

• This release fixes the import of quimb_gate() to work on versions of qiskit-quimb greater than 0.0.5. The aforementioned function is now imported from the toplevel qiskit_quimb instead of qiskit_quimb.circuit.

0.1.1

New Features

• This release adds quimb-autograd as an optional dependency, so that one can now run pip install 'qiskit-addon-aqc-tensor[quimb-autograd]' to install the addon along with quimb and autograd.

0.1.0

Prelude

Initial release.