Quantum Kernel Classifier

Binary classification with a quantum-kernel SVM, tuned and compared against a cross-validated classical RBF-SVM on a held-out test set

Your problem

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Sample dataset

Dataset

Pointsoptional

8 to 400

Featuresoptional

2 to 8

Noiseoptional

0 to 1

Random seedoptional

Held out for testingoptional33%

Largest problem: 8 qubits. Up to 8 features (one qubit each) and 60 training points per run; test sets up to 340 points
Runs on: CPU · GPU · IBM
Tags: qmlclassificationkernelsvm
Source: Maintained by Qsolve