e3c758a76b6f2ff8d9dc49582c306fc8cf2b26d1,test/test_qsvm_variational.py,TestQSVMVariational,test_qsvm_variational_directly,#TestQSVMVariational#,64

Before Change

        svm = QSVMVariational(optimizer, feature_map, var_form, self.training_data, self.testing_data)
        svm.random_seed = self.random_seed
        svm.setup_quantum_backend(backend=backend, shots=1024)
        result = svm.run()

        np.testing.assert_array_almost_equal(result["opt_params"], self.ref_opt_params, decimal=4)
        np.testing.assert_array_almost_equal(result["training_loss"], self.ref_train_loss, decimal=8)

After Change

        svm = QSVMVariational(optimizer, feature_map, var_form, self.training_data, self.testing_data)
        svm.random_seed = self.random_seed

        quantum_device = QuantumDevice(backend, shots=1024)
        result = svm.run(quantum_device)

        np.testing.assert_array_almost_equal(result["opt_params"], self.ref_opt_params, decimal=4)
        np.testing.assert_array_almost_equal(result["training_loss"], self.ref_train_loss, decimal=8)

Instances