Merge pull request #101 from raulconchello/dev_PennyLane_optimization…

…_methods

Implementation of pennylane optimizers

docs/requirements.txt

@@ -9,3 +9,6 @@ sphinx-rtd-theme==1.0.0
 ipython==8.2.0
 pandas>=1.3.5
 amazon-braket-sdk==1.23.0
+autograd>=1.4
+semantic_version>=2.10
+autoray>=0.3.1

docs/source/optimizers.rst

@@ -21,6 +21,12 @@ SciPy Optimizers
     :show-inheritance:
     :inherited-members:
 
+.. autoclass:: openqaoa.optimizers.training_vqa.PennyLaneOptimizer
+    :members:
+    :undoc-members:
+    :show-inheritance:
+    :inherited-members:
+
 Optimization Methods
 --------------------
 .. automodule:: openqaoa.optimizers.optimization_methods
@@ -29,6 +35,12 @@ Optimization Methods
     :show-inheritance:
     :inherited-members:
 
+.. automodule:: openqaoa.optimizers.pennylane.optimization_methods_pennylane
+    :members:
+    :undoc-members:
+    :show-inheritance:
+    :inherited-members:
+
 Derivate functions
 ------------------
 

openqaoa/optimizers/__init__.py

@@ -17,6 +17,7 @@
 
 Currently supports:
 	ScipyOptimizers (both gradient-free and gradient-based)
+	PennylaneOptimizers (adagrad, adam, gradient descent, nestrov momentum, rms prop, rotosolve, spsa)
 """
 
 from .training_vqa import *

openqaoa/optimizers/pennylane/NOTICE

@@ -0,0 +1,13 @@
+PennyLane
+Copyright 2018-2021 Xanadu Quantum Technologies Inc.
+
+This folder contains code developed in Xanadu Quantum Technologies Inc.
+The code in folders 
+    openqaoa.optimizers.pennylane.fourier
+    openqaoa.optimizers.pennylane.math
+    openqaoa.optimizers.pennylane.numpy
+    openqaoa.optimizers.pennylane.pennylane_optimizers
+has been taken from the PennyLane library, https://github.com/PennyLaneAI/pennylane, 
+developed by Xanadu Quantum Technologies Inc.
+PennyLane is free and open source, released under the Apache License, Version 2.0.
+Some lines of code have been modified, which has been indicated in the modified files.

openqaoa/optimizers/pennylane/__init__.py

@@ -0,0 +1,34 @@
+#   Copyright 2022 Entropica Labs
+#
+#   Licensed under the Apache License, Version 2.0 (the "License");
+#   you may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+#
+#       http://www.apache.org/licenses/LICENSE-2.0
+#
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+
+"""
+PennyLane optimizers directory for the classical optimization loop for QAOA 
+"""
+
+from .pennylane_optimizers.adagrad import *
+from .pennylane_optimizers.adam import *
+from .pennylane_optimizers.gradient_descent import *
+from .pennylane_optimizers.momentum import *
+from .pennylane_optimizers.nesterov_momentum import *
+from .pennylane_optimizers.rms_prop import *
+from .pennylane_optimizers.rotosolve import *
+from .pennylane_optimizers.spsa import *
+from . import numpy
+from . import math
+from . import fourier
+
+#empty class to be used as a placeholder for the QNode class from PennyLane
+class QNode:
+	def __init__(self):
+		pass

openqaoa/optimizers/pennylane/fourier/__init__.py

@@ -0,0 +1,17 @@
+# Copyright 2018-2021 Xanadu Quantum Technologies Inc.
+
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+
+#     http://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""This module contains functions to analyze the Fourier representation
+of quantum circuits."""
+import warnings
+from .reconstruct import reconstruct