Integrated quantum bayesian inference (#717)

* Added quantum Bayesian inference

* Allowed inference with no evidence

* Passed inference test

* Passed inference test

* Works with AmplitudeProblem algorithm

* Run GroverOperator until it matches all evidence

* Quantum rejection sampling with GroverOperator

* Quantum Bayesian inference

* Started QBayesian tutorial

* QBayesian tutorial + debugging order in inference()

* Add best_qc and docs

* Added Pachinko in Tut as Bayesian network

* Bug in Pachinko game

* Add Burglary Earthquake Example

* Bug with 13 tut jupyter file

* Bug fix with 13 tut jupyter file

* Bug fix example step 5 tut 13

* Reversed index for quantum circuit variables

* Fixed QBayesian classical qubit order for query variables

* Prepared release

* Made trivial test less strict

* Fixed format errors

* Updated pylint

* Included types for dict and set for format

* Fixed spelling error from an unchanged file

* Fixed tutorial and code based on feedback

* Fixed format

* Removed shots

* Fixed format

* Adjusted format for documentation + added format result

* Added test if converged for tutorial

* Revert commit on tutorial 07

* Embedded tutorial images

* Fixed release note format

* Added images and removed base64 for images

* Added images and removed base64 for images

* Fixed documentation QBayesian

* Added Copyright 2024

* Update qiskit_machine_learning/algorithms/__init__.py

* Update releasenotes/notes/add-quantum-bayesian-inference-92c6025432d9b7e0.yaml

Co-authored-by: Steve Wood <[email protected]>

* Update releasenotes/notes/add-quantum-bayesian-inference-92c6025432d9b7e0.yaml

Co-authored-by: Steve Wood <[email protected]>

* Update qiskit_machine_learning/algorithms/inference/qbayesian.py

Co-authored-by: Declan Millar <[email protected]>

* Added tests for getter and setter

* Rerun notebook for |: 'ABCMeta' and 'NoneType'

* Added default sampler parameter

* Fixed format error release note

* Removed mutable object as a default parameter

* Fixed TypeError

---------

Co-authored-by: Peter Röseler <[email protected]>
Co-authored-by: Anton Dekusar <[email protected]>
Co-authored-by: Steve Wood <[email protected]>
Co-authored-by: M. Emre Sahin <[email protected]>
Co-authored-by: Edoardo Altamura <[email protected]>
Co-authored-by: Declan Millar <[email protected]>

.pylintdict

@@ -1,3 +1,4 @@
+acyclic
 adam
 adjoint
 aer
@@ -18,13 +19,17 @@ autosummary
 backend
 backends
 backpropagation
+bayes
+bayesian
 benchmarking
 bergholm
 bitstring
 bitstrings
 bivariate
+bloch
 bool
 boolean
+borujeni
 cargs
 carlo
 cbit
@@ -83,15 +88,19 @@ farrokh
 fidelities
 fidelityquantumkernel
 formatter
+frac
 frontend
 func
 gambetta
 gaussian
 gellmann
 getter
 gpu
+grover
+guang
 guzik
 hamiltonian
+hao
 hashable
 havlíček
 hilbert
@@ -106,6 +115,8 @@ inlier
 inplace
 instantiation
 instantiations
+interdependencies
+isaac
 isometry
 iten
 iterable
@@ -124,6 +135,7 @@ langle
 lukin
 macos
 makefile
+mary
 matmul
 matplotlib
 maxiter
@@ -141,6 +153,7 @@ multioutput
 mxd
 mypy
 nat
+nbsphinx
 ndarray
 nielsen
 nn
@@ -191,6 +204,9 @@ qae
 qarg
 qargs
 qasm
+qb
+qbayesian
+qbi
 qc
 qgan
 qgans
@@ -205,6 +221,7 @@ qubits
 rangle
 rbf
 readme
+recalibration
 regressor
 regressors
 regs
@@ -226,6 +243,7 @@ shalev
 shende
 shwartz
 sigmoid
+sima
 sklearn
 softmax
 sparsearray
@@ -235,6 +253,7 @@ stdlib
 stdlib
 stdout
 str
+subclasses
 subcircuits
 submodules
 subobjects
@@ -248,6 +267,7 @@ temme
 tensored
 terra
 th
+theodore
 toctree
 todo
 traceback
@@ -280,6 +300,7 @@ vz
 wikipedia
 williams
 wrt
+yoder
 zoufal
 zsh
 θ

qiskit_machine_learning/algorithms/__init__.py

@@ -1,6 +1,6 @@
 # This code is part of a Qiskit project.
 #
-# (C) Copyright IBM 2021, 2023.
+# (C) Copyright IBM 2021, 2024.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory
@@ -56,6 +56,16 @@
    NeuralNetworkClassifier
    VQC
 
+Inference
++++++++++++
+Algorithms for inference.
+
+.. autosummary::
+   :toctree: ../stubs/
+   :nosignatures:
+
+   QBayesian
+
 Regressors
 ++++++++++
 Algorithms for data regression.
@@ -78,6 +88,7 @@
     OneHotObjectiveFunction,
 )
 from .classifiers import QSVC, PegasosQSVC, VQC, NeuralNetworkClassifier
+from .inference import QBayesian
 from .regressors import QSVR, VQR, NeuralNetworkRegressor
 
 __all__ = [
@@ -94,4 +105,5 @@
     "QSVR",
     "NeuralNetworkRegressor",
     "VQR",
+    "QBayesian",
 ]

qiskit_machine_learning/algorithms/inference/__init__.py

@@ -0,0 +1,18 @@
+# This code is part of a Qiskit project.
+#
+# (C) Copyright IBM 2023, 2024.
+#
+# This code is licensed under the Apache License, Version 2.0. You may
+# obtain a copy of this license in the LICENSE.txt file in the root directory
+# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
+#
+# Any modifications or derivative works of this code must retain this
+# copyright notice, and modified files need to carry a notice indicating
+# that they have been altered from the originals.
+
+""" Inference Package """
+
+
+from .qbayesian import QBayesian
+
+__all__ = ["QBayesian"]