Updated SVM desc of num qubits & depth
@@ -217,7 +217,7 @@ SVM_QKernel can be configured with the following parameters:
* `num_qubits`=*integer 2 to n, defaults to 2*
- Number of qubits to use for the problem.
+ Number of qubits required is equal to the number of features used for classification.
* `print_info`=**False** | True
@@ -236,11 +236,11 @@ SVM_Variational can be configured with the following parameters:
* `num_qubits`=*integer 2 to n, defaults to 2*
- Number of qubits to use for the problem.
+ Number of qubits required is equal to the number of features used for classification.
* `circuit_depth`=*integer 3 to n, defaults to 3*
- Circuit depth to use for the variational form.
+ Depth of variational circuit that is optimized.
* `print_info`=**False** | True
