qpe_toolbox.circuit.circuits_opt

Functions

tn_fit(tn, tn_target[, tags, steps, tol, ...])

Fit tensor network tn to target tensor network tn_target.

Module Contents

qpe_toolbox.circuit.circuits_opt.tn_fit(tn, tn_target, tags='SU4SWAP', steps=100, tol=1e-08, contract_optimize='auto-hq', *, progbar=False)[source]

Fit tensor network tn to target tensor network tn_target.

Parameters:

  • tn (TensorNetwork) – The tensor network to be optimized (in-place).

  • tn_target (TensorNetwork) – The target tensor network (usually a state we want to approximate).

  • tags (str or list of str, optional) – Tags selecting which tensors of tn to optimize. If None, all tensors are optimized.

  • steps (int) – Number of sweeps.

  • tol (float) – Convergence tolerance on the change of the overlap.

  • contract_optimize (str) – Contraction strategy for the environments.

  • progbar (bool) – Whether to show a progress bar.