mirror of https://github.com/Qiskit/qiskit.git
41 lines
1.6 KiB
YAML
41 lines
1.6 KiB
YAML
---
|
|
features:
|
|
- |
|
|
Added the :class:`qiskit.algorithms.minimum_eigensolvers` package to include interfaces for
|
|
primitive-enabled algorithms. :class:`~qiskit.algorithms.minimum_eigensolvers.VQE` has been
|
|
refactored in this implementation to leverage primitives.
|
|
|
|
To use the new implementation with a reference primitive, one can do, for example:
|
|
|
|
.. code-block:: python
|
|
|
|
from qiskit.algorithms.minimum_eigensolvers import VQE
|
|
from qiskit.algorithms.optimizers import SLSQP
|
|
from qiskit.circuit.library import TwoLocal
|
|
from qiskit.primitives import Estimator
|
|
from qiskit.quantum_info import SparsePauliOp
|
|
|
|
h2_op = SparsePauliOp(
|
|
["II", "IZ", "ZI", "ZZ", "XX"],
|
|
coeffs=[
|
|
-1.052373245772859,
|
|
0.39793742484318045,
|
|
-0.39793742484318045,
|
|
-0.01128010425623538,
|
|
0.18093119978423156,
|
|
],
|
|
)
|
|
|
|
estimator = Estimator()
|
|
ansatz = TwoLocal(rotation_blocks=["ry", "rz"], entanglement_blocks="cz")
|
|
optimizer = SLSQP()
|
|
|
|
vqe = VQE(estimator, ansatz, optimizer)
|
|
result = vqe.compute_minimum_eigenvalue(h2_op)
|
|
eigenvalue = result.eigenvalue
|
|
|
|
Note that the evaluated auxillary operators are now obtained via the
|
|
``aux_operators_evaluated`` field on the results. This will consist of a list or dict of
|
|
tuples containing the expectation values for these operators, as we well as the metadata from
|
|
primitive run. ``aux_operator_eigenvalues`` is no longer a valid field.
|