Update SVM part in readme for qubit var removal
@@ -243,10 +243,6 @@ SVM_QKernel supports the problems: `svm_classification`
SVM_QKernel can be configured with the following parameters:
-* `num_qubits`=*integer 2 to n, defaults to 2*
-
- Number of qubits required is equal to the number of features used for classification.
-
* `print_info`=**False** | True
Whether to print additional information or not when the algorithm is running.
@@ -266,10 +262,6 @@ SVM_Variational supports the problems: `svm_classification`
SVM_Variational can be configured with the following parameters:
-* `num_qubits`=*integer 2 to n, defaults to 2*
-
- Number of qubits required is equal to the number of features used for classification.
-
* `circuit_depth`=*integer 3 to n, defaults to 3*
Depth of variational circuit that is optimized.
