Added Entanglement Concentration Dataset for 3 and 4 qubits for Benchmarking Binary Classifiers (#915)

* Added Entanglement Concentration Dataset for 3 and 4 qubits

- Classification dataset for 3 and 4 qubits
- Pre-trained weights courtesy to https://github.com/LSchatzki/NTangled_Datasets
- The CE values claimed in the above repository had a mismatch for 8 qubits, hence we've left other number of qubits for future development
- Make html breaks for some reason. Need to fix in upcoming commits

Co-Authored-By: Nishant Vasan <[email protected]>
Co-Authored-By: rogue-infinity <[email protected]>

* Update __init__.py

* Made __init__.py black, Added seed for unittest

* Update .pylintdict

* Added keyword argument feedback

* Changed npy to json

* Fixed link

---------

Co-authored-by: Nishant Vasan <[email protected]>
Co-authored-by: rogue-infinity <[email protected]>
Co-authored-by: Steve Wood <[email protected]>
Co-authored-by: Edoardo Altamura <[email protected]>

Author: 5 people

.pylintdict

@@ -21,6 +21,7 @@ arg
 argmax
 args
 armijo
+arrasmith
 arxiv
 asmatrix
 aspuru
@@ -39,6 +40,8 @@ barkoutsos
 batchsize
 bayes
 bayesian
+beckey
+benchmarked
 benchmarking
 bergholm
 bfgs
@@ -63,6 +66,7 @@ carleo
 carlo
 cbit
 centroid
+cerezo
 chernoff
 choi
 chuang
@@ -190,6 +194,7 @@ gellmann
 generalised
 getter
 getters
+gigena
 gilliam
 giuseppe
 globals
@@ -255,6 +260,7 @@ izaac
 izz
 jac
 jacobian
+jl
 johnson
 jm
 jonathan
@@ -359,6 +365,7 @@ nonlocal
 nosignatures
 np
 ns
+ntangled
 num
 numpy
 nxd
@@ -400,7 +407,9 @@ pearson
 pedro
 pegasos
 peruzzo
+physrevlett
 pixelated
+pj
 platt
 polyfit
 postprocess
@@ -492,6 +501,7 @@ satisfiability
 satyen
 sbplx
 scalability
+schatzki
 schroediger
 schroedinger
 schrödinger
@@ -501,6 +511,9 @@ scipy
 sdg
 seealso
 semidefinite
+sep 
+seperate
+seperable
 serializable
 serializablemodelmixin
 shalev

qiskit_machine_learning/datasets/__init__.py

@@ -1,6 +1,6 @@
 # This code is part of a Qiskit project.
 #
-# (C) Copyright IBM 2019, 2024.
+# (C) Copyright IBM 2019, 2025.
 #
 # 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
@@ -14,23 +14,23 @@
 Datasets (:mod:`qiskit_machine_learning.datasets`)
 ==================================================
 
-A set of sample datasets to test machine learning algorithms.
+A collection of synthetic datasets used to test and benchmark machine-learning
+algorithms implemented in Qiskit Machine Learning.
 
 .. currentmodule:: qiskit_machine_learning.datasets
 
-Datasets
---------
+Synthetic dataset generators
+----------------------------
 
 .. autosummary::
    :toctree: ../stubs/
    :nosignatures:
 
    ad_hoc_data
-
+   entanglement_concentration_data
 """
 
 from .ad_hoc import ad_hoc_data
+from .entanglement_concentration import entanglement_concentration_data
 
-__all__ = [
-    "ad_hoc_data",
-]
+__all__ = ["ad_hoc_data", "entanglement_concentration_data"]