New Crowdin updates (#1190)

* New translations 08_quantum_kernel_trainer.po (Tamil)

* New translations 10_effective_dimension.po (Tamil)

* New translations 11_quantum_convolutional_neural_networks.po (Tamil)

* New translations 01_migration_guide_0.5.po (Tamil)

* New translations index.po (Tamil)

* New translations 02a_training_a_quantum_model_on_a_real_dataset.po (Tamil)

* New translations 04_torch_qgan.po (Tamil)

* New translations 09_saving_and_loading_models.po (Tamil)

* New translations 12_quantum_autoencoder.po (Tamil)

* New translations getting_started.po (Marathi)

* New translations index.po (Marathi)

* New translations 01_neural_networks.po (Marathi)

* New translations 02_neural_network_classifier_and_regressor.po (Marathi)

* New translations 03_quantum_kernel.po (Marathi)

* New translations 05_torch_connector.po (Marathi)

* New translations index.po (Marathi)

* New translations 07_pegasos_qsvc.po (Marathi)

* New translations 08_quantum_kernel_trainer.po (Marathi)

* New translations 10_effective_dimension.po (Marathi)

* New translations 11_quantum_convolutional_neural_networks.po (Marathi)

* New translations 01_migration_guide_0.5.po (Marathi)

* New translations index.po (Marathi)

* New translations 02a_training_a_quantum_model_on_a_real_dataset.po (Marathi)

* New translations 04_torch_qgan.po (Marathi)

* New translations 09_saving_and_loading_models.po (Marathi)

* New translations 12_quantum_autoencoder.po (Marathi)

* New translations getting_started.po (Thai)

* New translations index.po (Thai)

* New translations 01_neural_networks.po (Thai)

* New translations 02_neural_network_classifier_and_regressor.po (Thai)

* New translations 03_quantum_kernel.po (Thai)

* New translations 05_torch_connector.po (Thai)

* New translations index.po (Thai)

* New translations 07_pegasos_qsvc.po (Thai)

* New translations 08_quantum_kernel_trainer.po (Thai)

* New translations 10_effective_dimension.po (Thai)

* New translations 11_quantum_convolutional_neural_networks.po (Thai)

* New translations 01_migration_guide_0.5.po (Thai)

* New translations index.po (Thai)

* New translations 02a_training_a_quantum_model_on_a_real_dataset.po (Thai)

* New translations 04_torch_qgan.po (Thai)

* New translations 09_saving_and_loading_models.po (Thai)

* New translations 12_quantum_autoencoder.po (Thai)

* New translations getting_started.po (Hindi)

* New translations index.po (Hindi)

* New translations 01_neural_networks.po (Hindi)

* New translations 02_neural_network_classifier_and_regressor.po (Hindi)

* New translations 03_quantum_kernel.po (Hindi)

* New translations 05_torch_connector.po (Hindi)

* New translations index.po (Hindi)

* New translations 07_pegasos_qsvc.po (Hindi)

* New translations 08_quantum_kernel_trainer.po (Hindi)

* New translations 10_effective_dimension.po (Hindi)

* New translations deprecation_policy.po (Hindi)

* New translations maintainers_guide.po (Hindi)

* New translations 11_quantum_convolutional_neural_networks.po (Hindi)

* New translations 01_migration_guide_0.5.po (Hindi)

* New translations index.po (Hindi)

* New translations 02a_training_a_quantum_model_on_a_real_dataset.po (Hindi)

* New translations 04_torch_qgan.po (Hindi)

* New translations 09_saving_and_loading_models.po (Hindi)

* New translations 12_quantum_autoencoder.po (Hindi)

* New translations 02_gradients_framework.po (Telugu)

* New translations 01_operator_flow.po (Telugu)

* New translations getting_started.po (Telugu)

* New translations index.po (Telugu)

* New translations 01_neural_networks.po (Telugu)

* New translations 02_neural_network_classifier_and_regressor.po (Telugu)

* New translations 03_quantum_kernel.po (Telugu)

* New translations 05_torch_connector.po (Telugu)

* New translations index.po (Telugu)

* New translations 07_pegasos_qsvc.po (Telugu)

* New translations 08_quantum_kernel_trainer.po (Telugu)

* New translations 10_effective_dimension.po (Telugu)

* New translations deprecation_policy.po (Telugu)

* New translations maintainers_guide.po (Telugu)

* New translations 11_quantum_convolutional_neural_networks.po (Telugu)

* New translations 01_migration_guide_0.5.po (Telugu)

* New translations index.po (Telugu)

* New translations 02a_training_a_quantum_model_on_a_real_dataset.po (Telugu)

* New translations 04_torch_qgan.po (Telugu)

* New translations 09_saving_and_loading_models.po (Telugu)

* New translations 12_quantum_autoencoder.po (Telugu)

* New translations 02_gradients_framework.po (Bengali Language)

* New translations 01_operator_flow.po (Bengali Language)

* New translations getting_started.po (Bengali Language)

* New translations index.po (Bengali Language)

* New translations 01_neural_networks.po (Bengali Language)

* New translations 02_neural_network_classifier_and_regressor.po (Bengali Language)

* New translations 03_quantum_kernel.po (Bengali Language)

* New translations 05_torch_connector.po (Bengali Language)

* New translations index.po (Bengali Language)

* New translations 07_pegasos_qsvc.po (Bengali Language)

* New translations 08_quantum_kernel_trainer.po (Bengali Language)

* New translations 10_effective_dimension.po (Bengali Language)

* New translations deprecation_policy.po (Bengali Language)

* New translations maintainers_guide.po (Bengali Language)

* New translations 11_quantum_convolutional_neural_networks.po (Bengali Language)

* New translations 01_migration_guide_0.5.po (Bengali Language)

* New translations index.po (Bengali Language)

* New translations 02a_training_a_quantum_model_on_a_real_dataset.po (Bengali Language)

* New translations 04_torch_qgan.po (Bengali Language)

* New translations 09_saving_and_loading_models.po (Bengali Language)

* New translations 12_quantum_autoencoder.po (Bengali Language)

* New translations 02_gradients_framework.po (Spanish (United))

* New translations 01_operator_flow.po (Spanish (United))

* New translations getting_started.po (Spanish (United))

* New translations index.po (Spanish (United))

* New translations 01_neural_networks.po (Spanish (United))

* New translations 02_neural_network_classifier_and_regressor.po (Spanish (United))

* New translations 03_quantum_kernel.po (Spanish (United))

* New translations 05_torch_connector.po (Spanish (United))

* New translations index.po (Spanish (United))

* New translations 04_grover_optimizer.po (Spanish (United))

* New translations 03_ground_state_solvers.po (Spanish (United))

* New translations 04_excited_states_solvers.po (Spanish (United))

* New translations 07_pegasos_qsvc.po (Spanish (United))

* New translations 08_quantum_kernel_trainer.po (Spanish (United))

* New translations 10_effective_dimension.po (Spanish (United))

* New translations deprecation_policy.po (Spanish (United))

* New translations maintainers_guide.po (Spanish (United))

* New translations 11_quantum_convolutional_neural_networks.po (Spanish (United))

* New translations 06_qubit_mappers.po (Spanish (United))

* New translations 01_migration_guide_0.5.po (Spanish (United))

* New translations index.po (Spanish (United))

* New translations 02a_training_a_quantum_model_on_a_real_dataset.po (Spanish (United))

* New translations 04_torch_qgan.po (Spanish (United))

* New translations 09_saving_and_loading_models.po (Spanish (United))

* New translations 12_quantum_autoencoder.po (Spanish (United))

* New translations 02_gradients_framework.po (Portuguese (United))

* New translations 01_operator_flow.po (Portuguese (United))

* New translations getting_started.po (Portuguese (United))

* New translations index.po (Portuguese (United))

* New translations 01_neural_networks.po (Portuguese (United))

* New translations 02_neural_network_classifier_and_regressor.po (Portuguese (United))

* New translations 03_quantum_kernel.po (Portuguese (United))

* New translations 05_torch_connector.po (Portuguese (United))

* New translations index.po (Portuguese (United))

* New translations 07_pegasos_qsvc.po (Portuguese (United))

* New translations 08_quantum_kernel_trainer.po (Portuguese (United))

* New translations 10_effective_dimension.po (Portuguese (United))

* New translations deprecation_policy.po (Portuguese (United))

* New translations maintainers_guide.po (Portuguese (United))

* New translations 11_quantum_convolutional_neural_networks.po (Portuguese (United))

* New translations 01_migration_guide_0.5.po (Portuguese (United))

* New translations index.po (Portuguese (United))

* New translations 02a_training_a_quantum_model_on_a_real_dataset.po (Portuguese (United))

* New translations 04_torch_qgan.po (Portuguese (United))

* New translations 09_saving_and_loading_models.po (Portuguese (United))

* New translations 12_quantum_autoencoder.po (Portuguese (United))

* New translations 04_grover_optimizer.po (French)

* New translations 04_grover_optimizer.po (German)

* New translations 04_grover_optimizer.po (Gujarati)

* New translations 04_grover_optimizer.po (Japanese)

* New translations 04_grover_optimizer.po (Korean)

* New translations 04_grover_optimizer.po (Polish)

* New translations 04_grover_optimizer.po (Russian)

* New translations 04_grover_optimizer.po (Turkish)

* New translations 04_grover_optimizer.po (Chinese Simplified)

* New translations 04_grover_optimizer.po (Chinese Traditional)

* New translations 04_grover_optimizer.po (Tamil)

* New translations 04_grover_optimizer.po (Marathi)

* New translations 04_grover_optimizer.po (Thai)

* New translations 04_grover_optimizer.po (Hindi)

* New translations 04_grover_optimizer.po (Telugu)

* New translations 04_grover_optimizer.po (Bengali Language)

* New translations 04_grover_optimizer.po (Spanish (United))

* New translations 04_grover_optimizer.po (Portuguese (United))

* New translations getting_started.po (Telugu)

* New translations 11_using_classical_optimization_solvers_and_models.po (French)

* New translations 11_using_classical_optimization_solvers_and_models.po (German)

* New translations 11_using_classical_optimization_solvers_and_models.po (Gujarati)

* New translations 11_using_classical_optimization_solvers_and_models.po (Japanese)

* New translations 11_using_classical_optimization_solvers_and_models.po (Korean)

* New translations 11_using_classical_optimization_solvers_and_models.po (Polish)

* New translations 11_using_classical_optimization_solvers_and_models.po (Russian)

* New translations 11_using_classical_optimization_solvers_and_models.po (Turkish)

* New translations 11_using_classical_optimization_solvers_and_models.po (Chinese Simplified)

* New translations 11_using_classical_optimization_solvers_and_models.po (Chinese Traditional)

* New translations 11_using_classical_optimization_solvers_and_models.po (Tamil)

* New translations 11_using_classical_optimization_solvers_and_models.po (Marathi)

* New translations 11_using_classical_optimization_solvers_and_models.po (Thai)

* New translations 11_using_classical_optimization_solvers_and_models.po (Hindi)

* New translations 11_using_classical_optimization_solvers_and_models.po (Telugu)

* New translations 11_using_classical_optimization_solvers_and_models.po (Bengali Language)

* New translations 11_using_classical_optimization_solvers_and_models.po (Spanish (United))

* New translations 11_using_classical_optimization_solvers_and_models.po (Portuguese (United))

* New translations 00_amplitude_estimation.po (Japanese)

* New translations getting_started.po (Japanese)

* New translations 02_portfolio_diversification.po (Japanese)

* New translations 03_european_call_option_pricing.po (Japanese)

* New translations getting_started.po (Japanese)

* New translations index.po (Japanese)

* New translations getting_started.po (Japanese)

* New translations 02_neural_network_classifier_and_regressor.po (Japanese)

* New translations 03_quantum_kernel.po (Japanese)

* New translations 05_torch_connector.po (Japanese)

* New translations 03_ground_state_solvers.po (Japanese)

* New translations 01_portfolio_optimization.po (Japanese)

* New translations 00_amplitude_estimation.po (Japanese)

* New translations 08_quantum_kernel_trainer.po (Japanese)

* New translations 11_quantum_convolutional_neural_networks.po (Japanese)

* New translations 01_migration_guide_0.5.po (Japanese)

* New translations 04_torch_qgan.po (Japanese)

* New translations 03_ground_state_solvers.po (Japanese)

* New translations 04_excited_states_solvers.po (Japanese)

* New translations 02_portfolio_diversification.po (Japanese)

* New translations 06_qubit_mappers.po (Japanese)

* New translations numpy_eigensolver.po (Japanese)

* New translations numpy_minimum_eigensolver.po (Japanese)

* New translations vqe_ucc.po (Japanese)

* New translations vqe_uvcc.po (Japanese)

* New translations 0.5_b_solving_problems.po (Japanese)

* New translations 01_quadratic_program.po (Japanese)

* New translations 02_converters_for_quadratic_programs.po (Japanese)

* New translations 03_minimum_eigen_optimizer.po (Japanese)

* New translations 04_grover_optimizer.po (Japanese)

* New translations 05_admm_optimizer.po (Japanese)

* New translations 06_examples_max_cut_and_tsp.po (Japanese)

* New translations 07_examples_vehicle_routing.po (Japanese)

* New translations 08_cvar_optimization.po (Japanese)

* New translations 10_warm_start_qaoa.po (Japanese)

* New translations index.po (Japanese)

* New translations getting_started.po (Japanese)

* New translations 00_amplitude_estimation.po (Japanese)

* New translations getting_started.po (Japanese)

* New translations 12_quantum_autoencoder.po (Japanese)

* New translations 02_neural_network_classifier_and_regressor.po (Japanese)

* New translations 10_effective_dimension.po (Japanese)

* New translations getting_started.po (Japanese)

* New translations index.po (Japanese)

* New translations index.po (Japanese)

* New translations adapt_vqe.po (Japanese)

* New translations index.po (Japanese)

* New translations numpy_minimum_eigensolver.po (Japanese)

* New translations vqe_ucc.po (Japanese)

* New translations vqe_uvcc.po (Japanese)

* New translations getting_started.po (Japanese)

* New translations 02_converters_for_quadratic_programs.po (Japanese)

* New translations qrao.po (Japanese)

* New translations index.po (Japanese)

* New translations index.po (Japanese)

* New translations qrao.po (Japanese)

* New translations 02_migration_guide_to_v0.6.po (Japanese)

* New translations 12_quantum_random_access_optimizer.po (Japanese)

* New translations qrao.po (Japanese)

* New translations 02_portfolio_diversification.po (Telugu)

* New translations 12_quantum_random_access_optimizer.po (Japanese)

* New translations 12_quantum_random_access_optimizer.po (Japanese)

---------

Co-authored-by: SooluThomas <[email protected]>

finance/docs/locale/ja_JP/LC_MESSAGES/getting_started.po

@@ -3,7 +3,7 @@ msgstr ""
 "Project-Id-Version: qiskit-docs\n"
 "Report-Msgid-Bugs-To: \n"
 "POT-Creation-Date: 2023-11-14 09:35+0000\n"
-"PO-Revision-Date: 2023-11-14 11:26\n"
+"PO-Revision-Date: 2024-01-02 12:08\n"
 "Last-Translator: \n"
 "Language: ja\n"
 "Language-Team: Japanese\n"
@@ -28,23 +28,23 @@ msgstr "インストール"
 
 #: ../../getting_started.rst:10
 msgid "Qiskit Finance depends on Qiskit, which has its own `Qiskit Getting Started <https://qiskit.org/documentation/getting_started.html>`__ detailing the installation options and its supported environments/platforms. You should refer to that first. Then the information here can be followed which focuses on the additional installation specific to Qiskit Finance."
-msgstr ""
+msgstr "Qiskit Financeは、インストール・オプションとそのサポート環境/プラットフォームを詳述した「`Qiskit はじめに <https://qiskit.org/documentation/getting_started.html>`__ 」にて説明されたQiskitに依存しています。 まずそれを参照してください。次に、ここで説明する情報に従って、Qiskit Financeに固有の追加インストールをしましょう。"
 
 #: ../../getting_started.rst
 msgid "Start locally"
 msgstr "ローカルからの開始"
 
 #: ../../getting_started.rst:20
 msgid "The simplest way to get started is to first follow the `getting started 'Start locally' guide for Qiskit <https://qiskit.org/documentation/getting_started.html>`__"
-msgstr ""
+msgstr "最も簡単な方法は「 `Qiskit はじめに <https://qiskit.org/documentation/getting_started.html>`__ 」の「ローカルで始める」のガイドを参照して開始することです。"
 
 #: ../../getting_started.rst:23
 msgid "In your virtual environment, where you installed Qiskit, install Qiskit Finance as follows:"
-msgstr ""
+msgstr "Qiskit をインストールした仮想環境で、次のように Qiskit Finance をインストールします。"
 
 #: ../../getting_started.rst:31
 msgid "As Qiskit Finance depends on Qiskit, you can though simply install it into your environment, as above, and pip will automatically install a compatible version of Qiskit if one is not already installed."
-msgstr ""
+msgstr "Qiskit FinanceはQiskitに依存しているため、上記のようにQiskitを環境にインストールするだけで、Qiskitの互換バージョンがまだインストールされていない場合、pipがQiskitを自動的にインストールします。"
 
 #: ../../getting_started.rst
 msgid "Install from source"

finance/docs/locale/ja_JP/LC_MESSAGES/tutorials/00_amplitude_estimation.po

@@ -3,7 +3,7 @@ msgstr ""
 "Project-Id-Version: qiskit-docs\n"
 "Report-Msgid-Bugs-To: \n"
 "POT-Creation-Date: 2023-11-14 09:35+0000\n"
-"PO-Revision-Date: 2023-11-14 11:27\n"
+"PO-Revision-Date: 2024-01-02 12:08\n"
 "Last-Translator: \n"
 "Language: ja\n"
 "Language-Team: Japanese\n"
@@ -52,7 +52,7 @@ msgstr "\\mathcal{Q} = \\mathcal{A}\\mathcal{S}_0\\mathcal{A}^\\dagger\\mathcal{
 
 #: ../../tutorials/00_amplitude_estimation.ipynb:32
 msgid "where :math:`\\mathcal{S}_0` and :math:`\\mathcal{S}_{\\Psi_1}` are reflections about the :math:`|0\\rangle` and :math:`|\\Psi_1\\rangle` states, respectively, and phase estimation. However this algorithm, called `AmplitudeEstimation <https://qiskit.org/ecosystem/algorithms/stubs/qiskit_algorithms.AmplitudeEstimation.html>`__ in `Qiskit Algorithms <https://qiskit.org/ecosystem/algorithms/>`__, requires large circuits and is computationally expensive. Therefore, other variants of QAE have been proposed, which we will showcase in this tutorial for a simple example."
-msgstr ""
+msgstr "ここで :math:`\\mathcal{S}_0` と :math:`\\mathcal{S}_{\\Psi_1}` はそれぞれ :math:`|0\\rangle` と :math:`|\\Psi_1\\rangle` の状態に対する反転です。そして位相推定があります。しかしながら `Qiskit Algorithms <https://qiskit.org/ecosystem/algorithms/>`__ で `AmplitudeEstimation <https://qiskit.org/ecosystem/algorithms/stubs/qiskit_algorithms.AmplitudeEstimation.html>`__ と呼ばれるこのアルゴリズムは、大きな回路を必要とし、計算コストが高いです。そのため、QAE の改良が提案されており、このチュートリアルでは簡単な例を紹介します。"
 
 #: ../../tutorials/00_amplitude_estimation.ipynb:35
 msgid "In our example, :math:`\\mathcal{A}` describes a Bernoulli random variable with (assumed to be unknown) success probability :math:`p`:"
@@ -92,11 +92,11 @@ msgstr "これで :math:`\\mathcal{A}` と :math:`\\mathcal{Q}` を定義でき
 
 #: ../../tutorials/00_amplitude_estimation.ipynb:148
 msgid "Amplitude Estimation workflow"
-msgstr ""
+msgstr "振幅推定ワークフロー"
 
 #: ../../tutorials/00_amplitude_estimation.ipynb:159
 msgid "Qiskit Algorithms implements several QAE algorithms that all derive from the `AmplitudeEstimator <https://qiskit.org/ecosystem/algorithms/stubs/qiskit_algorithms.AmplitudeEstimator.html>`__ interface. In the initializer we specify algorithm specific settings and the ``estimate`` method, which does all the work, takes an `EstimationProblem <https://qiskit.org/ecosystem/algorithms/stubs/qiskit_algorithms.EstimationProblem.html>`__ as input and returns an `AmplitudeEstimationResult <https://qiskit.org/ecosystem/algorithms/stubs/qiskit_algorithms.AmplitudeEstimatorResult.html>`__ object. Since all QAE variants follow the same interface, we can use them all to solve the same problem instance."
-msgstr ""
+msgstr "Qiskit Algorithm はいくつかの QAE のアルゴリズムを全て `AmplitudeEstimator <https://qiskit.org/ecosystem/algorithms/stubs/qiskit_algorithms.AmplitudeEstimator.html>`__ インタフェースを派生して実装します。初期化ではアルゴリズム固有の設定と ``estimate`` メソッドを指定します。このメソッドが全ての処理を行い、 `EstimationProblem <https://qiskit.org/ecosystem/algorithms/stubs/qiskit_algorithms.EstimationProblem.html>`__ を入力にとり、 `AmplitudeEstimationResult <https://qiskit.org/ecosystem/algorithms/stubs/qiskit_algorithms.AmplitudeEstimatorResult.html>`__ オブジェクトを返します。全ての QAE の実装は同じインタフェースに従うため、同じ問題インスタンスを解くために使えます。"
 
 #: ../../tutorials/00_amplitude_estimation.ipynb:162
 msgid "Next, we'll run all different QAE algorithms. To do so, we first define the estimation problem which will contain the :math:`\\mathcal{A}` and :math:`\\mathcal{Q}` operators as well as how to identify the :math:`|\\Psi_1\\rangle` state, which in this simple example is just :math:`|1\\rangle`."

finance/docs/locale/ja_JP/LC_MESSAGES/tutorials/01_portfolio_optimization.po

@@ -3,7 +3,7 @@ msgstr ""
 "Project-Id-Version: qiskit-docs\n"
 "Report-Msgid-Bugs-To: \n"
 "POT-Creation-Date: 2023-11-14 09:35+0000\n"
-"PO-Revision-Date: 2023-11-14 11:27\n"
+"PO-Revision-Date: 2023-12-19 13:50\n"
 "Last-Translator: \n"
 "Language: ja\n"
 "Language-Team: Japanese\n"
@@ -74,7 +74,7 @@ msgstr "ここで、次の簡略化を想定します。すべての資産は同
 
 #: ../../tutorials/01_portfolio_optimization.ipynb:42
 msgid "The equality constraint :math:`1^T x = B` is mapped to a penalty term :math:`(1^T x - B)^2` which is scaled by a parameter and subtracted from the objective function. The resulting problem can be mapped to a Hamiltonian whose ground state corresponds to the optimal solution. This notebook shows how to use the Sampling Variational Quantum Eigensolver (``SamplingVQE``) or the Quantum Approximate Optimization Algorithm (``QAOA``) from `Qiskit Algorithms <https://qiskit.org/ecosystem/algorithms/apidocs/qiskit_algorithms.html#minimum-eigensolvers>`__ to find the optimal solution for a given set of parameters."
-msgstr ""
+msgstr "等価制約 :math:`1^T x = B` は、パラメーターによってスケールされ、目的関数から減算される、ペナルティー項 :math:`(1^T x - B)^2` にマップされます。得られた問題は、基底状態が最適解に対応するハミルトニアンにマッピングすることができます。 このノートブックでは、与えられたパラメーターセットによる最適解を見つけるために、`Qiskit Algorithms <https://qiskit.org/ecosystem/algorithms/apidocs/qiskit_algorithms.html#minimum-eigensolvers>`__ の Sampling Variational Quantum Eigensolver (``SamplingVQE``) または Quantum Approximate Optimization Algorithm (``QAOA``) を使用する方法について説明します。"
 
 #: ../../tutorials/01_portfolio_optimization.ipynb:45
 msgid "Experiments on real quantum hardware for this problem are reported for instance in the following paper: `Improving Variational Quantum Optimization using CVaR. Barkoutsos et al. 2019. <https://arxiv.org/abs/1907.04769>`__"

finance/docs/locale/ja_JP/LC_MESSAGES/tutorials/02_portfolio_diversification.po

@@ -3,7 +3,7 @@ msgstr ""
 "Project-Id-Version: qiskit-docs\n"
 "Report-Msgid-Bugs-To: \n"
 "POT-Creation-Date: 2023-11-14 09:35+0000\n"
-"PO-Revision-Date: 2023-11-14 11:27\n"
+"PO-Revision-Date: 2023-12-29 15:14\n"
 "Last-Translator: \n"
 "Language: ja\n"
 "Language-Team: Japanese\n"
@@ -272,7 +272,7 @@ msgstr "[4] DJ. Berndt and J. Clifford, *Using dynamic time warping to find patt
 
 #: ../../tutorials/02_portfolio_diversification.ipynb:190
 msgid "[5] `Max-Cut and Traveling Salesman Problem <https://qiskit.org/ecosystem/optimization/tutorials/06_examples_max_cut_and_tsp.html>`__"
-msgstr ""
+msgstr "[5] `Max-Cut and Traveling Salesman Problem <https://qiskit.org/ecosystem/optimization/tutorials/06_examples_max_cut_and_tsp.html>`__"
 
 #: ../../tutorials/02_portfolio_diversification.ipynb:202
 msgid "The Implementation"
@@ -304,7 +304,7 @@ msgstr "ソリューションは、星印で選択された銘柄が示され、
 
 #: ../../tutorials/02_portfolio_diversification.ipynb:496
 msgid "Quantum Computing solution using Qiskit"
-msgstr ""
+msgstr "Qiskit を使用した量子コンピューティング・ソリューション"
 
 #: ../../tutorials/02_portfolio_diversification.ipynb:498
 msgid "For the quantum solution, we use Qiskit. We first define a class QuantumOptimizer that encodes the quantum approach to solve the problem and then we instantiate it and solve it. We define the following methods inside the class:"
@@ -316,7 +316,7 @@ msgstr "``exact_solution`` : イジング・ハミルトニアンが :math:`Z` 
 
 #: ../../tutorials/02_portfolio_diversification.ipynb:501
 msgid "``sampling_vqe_solution`` : solves the problem :math:`(M)` via the Sampling Variational Quantum Eigensolver (``SamplingVQE``);"
-msgstr ""
+msgstr "``sampling_vqe_solution`` : サンプリング変数量子固有ソルバー (``SamplingVQE``) を介して問題 :math:`(M)` を解きます。"
 
 #: ../../tutorials/02_portfolio_diversification.ipynb:502
 msgid "``qaoa_solution`` : solves the problem :math:`(M)` via a Quantum Approximate Optimization Algorithm (``QAOA``)."

finance/docs/locale/ja_JP/LC_MESSAGES/tutorials/03_european_call_option_pricing.po

@@ -3,7 +3,7 @@ msgstr ""
 "Project-Id-Version: qiskit-docs\n"
 "Report-Msgid-Bugs-To: \n"
 "POT-Creation-Date: 2023-11-14 09:35+0000\n"
-"PO-Revision-Date: 2023-11-14 11:27\n"
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@@ -132,7 +132,7 @@ msgstr "期待ペイオフの評価"
 
 #: ../../tutorials/03_european_call_option_pricing.ipynb:576
 msgid "Instead of constructing these circuits manually, the Qiskit Finance module offers the ``EuropeanCallPricing`` circuit, which already implements this functionality as a building block."
-msgstr ""
+msgstr "これらの回路を手動で構築する代わりに、Qiskit Finance モジュールは ``EuropeanCallPricing`` 回路を提供しています。この回路は、この機能をビルディングブロックとしてすでに実装しています。"
 
 #: ../../tutorials/03_european_call_option_pricing.ipynb:660
 msgid "Evaluate Delta"

finance/docs/locale/te_IN/LC_MESSAGES/tutorials/02_portfolio_diversification.po

@@ -3,7 +3,7 @@ msgstr ""
 "Project-Id-Version: qiskit-docs\n"
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@@ -272,7 +272,7 @@ msgstr "[4] DJ. Berndt and J. Clifford, *సమయ శ్రేణిలో న
 
 #: ../../tutorials/02_portfolio_diversification.ipynb:190
 msgid "[5] `Max-Cut and Traveling Salesman Problem <https://qiskit.org/ecosystem/optimization/tutorials/06_examples_max_cut_and_tsp.html>`__"
-msgstr ""
+msgstr "[5] `Max-Cut and Traveling Salesman Problem <https://qiskit.org/ecosystem/optimization/tutorials/06_examples_max_cut_and_tsp.html>`__"
 
 #: ../../tutorials/02_portfolio_diversification.ipynb:202
 msgid "The Implementation"
@@ -304,7 +304,7 @@ msgstr "పరిష్కారం ఎంచుకున్న స్టాక
 
 #: ../../tutorials/02_portfolio_diversification.ipynb:496
 msgid "Quantum Computing solution using Qiskit"
-msgstr ""
+msgstr "Qiskit ఉపయోగించి క్వాంటం కంప్యూటింగ్ పరిష్కారం"
 
 #: ../../tutorials/02_portfolio_diversification.ipynb:498
 msgid "For the quantum solution, we use Qiskit. We first define a class QuantumOptimizer that encodes the quantum approach to solve the problem and then we instantiate it and solve it. We define the following methods inside the class:"
@@ -316,7 +316,7 @@ msgstr "``exact_solution`` : `Z` బాసిస్ లో ఐసింగ్ 
 
 #: ../../tutorials/02_portfolio_diversification.ipynb:501
 msgid "``sampling_vqe_solution`` : solves the problem :math:`(M)` via the Sampling Variational Quantum Eigensolver (``SamplingVQE``);"
-msgstr ""
+msgstr "``sampling_vqe_solution`` : నమూనా వేరియేషనల్ క్వాంటం ఈజెన్‌సోల్వర్ (``SamplingVQE``) ద్వారా :math:`(M)` సమస్యను పరిష్కరిస్తుంది;"
 
 #: ../../tutorials/02_portfolio_diversification.ipynb:502
 msgid "``qaoa_solution`` : solves the problem :math:`(M)` via a Quantum Approximate Optimization Algorithm (``QAOA``)."

machine-learning/docs/locale/bn_BN/LC_MESSAGES/getting_started.po

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machine-learning/docs/locale/bn_BN/LC_MESSAGES/index.po

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machine-learning/docs/locale/bn_BN/LC_MESSAGES/migration/01_migration_guide_0.5.po

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machine-learning/docs/locale/bn_BN/LC_MESSAGES/migration/index.po

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machine-learning/docs/locale/bn_BN/LC_MESSAGES/tutorials/01_neural_networks.po

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machine-learning/docs/locale/bn_BN/LC_MESSAGES/tutorials/02_neural_network_classifier_and_regressor.po

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machine-learning/docs/locale/bn_BN/LC_MESSAGES/tutorials/02a_training_a_quantum_model_on_a_real_dataset.po

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machine-learning/docs/locale/bn_BN/LC_MESSAGES/tutorials/03_quantum_kernel.po

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machine-learning/docs/locale/bn_BN/LC_MESSAGES/tutorials/04_torch_qgan.po

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machine-learning/docs/locale/bn_BN/LC_MESSAGES/tutorials/05_torch_connector.po

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machine-learning/docs/locale/bn_BN/LC_MESSAGES/tutorials/07_pegasos_qsvc.po

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machine-learning/docs/locale/bn_BN/LC_MESSAGES/tutorials/08_quantum_kernel_trainer.po

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machine-learning/docs/locale/bn_BN/LC_MESSAGES/tutorials/09_saving_and_loading_models.po

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machine-learning/docs/locale/bn_BN/LC_MESSAGES/tutorials/10_effective_dimension.po

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machine-learning/docs/locale/bn_BN/LC_MESSAGES/tutorials/11_quantum_convolutional_neural_networks.po

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machine-learning/docs/locale/bn_BN/LC_MESSAGES/tutorials/12_quantum_autoencoder.po

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machine-learning/docs/locale/bn_BN/LC_MESSAGES/tutorials/index.po

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machine-learning/docs/locale/de_DE/LC_MESSAGES/getting_started.po

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