version0.1.1

Author: refraction-ray

CHANGELOG.md

@@ -2,6 +2,8 @@
 
 ## Unreleased
 
+## 0.1.1
+
 ### Added
 
 - Add `quoperator` method to get `QuOperator` representation of the circuit unitary

tensorcircuit/__init__.py

@@ -1,4 +1,4 @@
-__version__ = "0.1.0"
+__version__ = "0.1.1"
 __author__ = "TensorCircuit Authors"
 __creator__ = "refraction-ray"
 

tensorcircuit/backends/abstract_backend.py

@@ -936,7 +936,6 @@ def scatter(self: Any, operand: Tensor, indices: Tensor, updates: Tensor) -> Ten
             "Backend '{}' has not implemented `scatter`.".format(self.name)
         )
 
-    # TODO(@refraction-ray): coo attributes
     def coo_sparse_matrix(
         self: Any, indices: Tensor, values: Tensor, shape: Tensor
     ) -> Tensor:

tensorcircuit/backends/tensorflow_backend.py

@@ -51,9 +51,6 @@ def update(self, grads: pytree, params: pytree) -> pytree:
             return TensorFlowBackend.tree_map(None, tf.convert_to_tensor, params)
         return params
 
-    # TODO(@refraction-ray): complex compatible for opt interface
-    # (better not use complex variables though)
-
 
 def _tensordot_tf(
     self: Any, a: Tensor, b: Tensor, axes: Union[int, Sequence[Sequence[int]]]

tensorcircuit/circuit.py

@@ -93,7 +93,6 @@ def __init__(
         else:
             self.has_inputs = False
         self.split = split
-        # TODO(@refraction-ray): split settings at global level?
         if (inputs is None) and (mps_inputs is None):
             nodes = [
                 tn.Node(
@@ -1720,7 +1719,7 @@ def expectation(
     >>> tc.expectation(*x1x2, ket=s3, bra=s2)
     (0.7071067690849304+0j) # 1/sqrt(2)
 
-    :param ket: :math:`ket`.
+    :param ket: :math:`ket`. The state in tensor or ``QuVector`` format
     :type ket: Tensor
     :param bra: :math:`bra`, defaults to None, which is the same as ``ket``.
     :type bra: Optional[Tensor], optional
@@ -1732,7 +1731,6 @@ def expectation(
     :return: The result of :math:`\\langle bra\\vert ops \\vert ket\\rangle`.
     :rtype: Tensor
     """
-    # TODO: incomplete docstring
     if bra is None:
         bra = ket
     if isinstance(ket, QuOperator):

tensorcircuit/keras.py

@@ -112,9 +112,6 @@ def call(
     #     return dict(list(base_config.items()) + list(config.items()))
 
 
-# TODO(@refraction-ray): more specific keras layer as provided by tfq
-
-
 def output_asis_loss(y_true: tf.Tensor, y_pred: tf.Tensor) -> tf.Tensor:
     """
     The keras loss function that directly taking the model output as the loss.