Dataset for Benchmarking Variational Fast Forward Pipielines based on Hydrogen Molecule Simulation

.pylintdict

@@ -55,6 +55,7 @@ borujeni
 boyer
 brassard
 broyden
+brisbane
 callables
 cambridge
 cancelled
@@ -66,6 +67,8 @@ centroid
 chernoff
 choi
 chuang
+cincio
+cîrstoiu
 clbit
 clbits
 clopper
@@ -164,14 +167,18 @@ fae
 failsafe
 farhi
 farrokh
+fermionic
 fi
 fidelities
 fidelity
 fidelityquantumkernel
 filippo
+filip
+fitzpatrick
 fletcher
 fm
 fmin
+fock
 formatter
 fourier
 frac
@@ -219,6 +226,7 @@ hermitian
 hessians
 hilbert
 hoc
+holmes
 homebrew
 hopkins
 hoyer
@@ -228,6 +236,7 @@ hubbard
 hyperparameter
 hyperparameters
 hyperplanes
+ibm
 idx
 im
 imag
@@ -240,6 +249,7 @@ instantiations
 interatomic
 interdependencies
 ints
+iosue
 iprint
 iqft
 isaac
@@ -253,12 +263,15 @@ izaac
 izz
 jac
 jacobian
+jhp
 johnson
 jm
 jonathan
 jones
+jordan
 july
 jupyter
+jw
 kandala
 kernelized
 killoran
@@ -282,6 +295,7 @@ leq
 lin
 linalg
 loglik
+longterm
 loglikelihood
 lov
 lr
@@ -327,6 +341,7 @@ msg
 multiclass
 multinomial
 multioutput
+muñoz
 mxd
 mypy
 nabla
@@ -356,6 +371,7 @@ nones
 nonlocal
 nosignatures
 np
+npj
 ns
 num
 numpy
@@ -399,6 +415,7 @@ pedro
 pegasos
 peruzzo
 pixelated
+pj
 platt
 polyfit
 postprocess
@@ -453,6 +470,7 @@ quantile
 quantumcircuit
 qubit
 qubits
+ramo
 rangle
 raymond
 rbf
@@ -499,10 +517,12 @@ scipy
 sdg
 seealso
 semidefinite
+sep
 serializable
 shalev
 shanno
 shende
+shortterm
 shwartz
 sigmoid
 sima
@@ -513,6 +533,7 @@ slsqp
 sobol
 softmax
 soloviev
+sornborger
 spall
 sparsearray
 spedalieri
@@ -579,6 +600,7 @@ transpiling
 trotterization
 trotterized
 tunable
+uncertainities
 uncompiled
 uncompress
 uncompute
@@ -587,6 +609,7 @@ univariate
 uno
 unscaled
 unsymmetric
+usecase
 utf
 utils
 varadarajan
@@ -595,6 +618,7 @@ vatan
 vec
 vectorized
 veeravalli
+vff
 vicente
 vicentini
 vigo
@@ -608,6 +632,7 @@ vx
 vy
 vz
 wavefunction
+wigner
 wikipedia
 wilhelm
 williams

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 +14,24 @@
 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
+   h_molecule_evolution_data
 
 """
 
 from .ad_hoc import ad_hoc_data
+from .h_molecule_evolution import h_molecule_evolution_data
 
-__all__ = [
-    "ad_hoc_data",
-]
+__all__ = ["ad_hoc_data", "h_molecule_evolution_data"]