SVM with quantum enhanced feature spaces based on the research paper, Supervised Learning with Quantum Enhanced Feature Spaces

Read the amazing original work of the researchers on the paper, Supervised Learning with Quantum Enhanced Feature Spaces. Which you can find here: https://arxiv.org/pdf/1804.11326.pdf

You can read a summary and analysis of the math, circuitry, and quantum mechanics behind the support vector machine with quantum-enhanced feature space on my website here: https://www.context-switching.com/tcs/quantummachinelearning/#quantum-support-vector-machine

Install and Set Up Qiskit

pip install qiskit

pip install qiskit-ibm-runtime

Qiskit Quantum Algorithms Installation

pip install qiskit-algorithms

Qiskit Machine Learning Installation

pip install qiskit-machine-learning

SKLearn Machine Learning Library

pip install -U scikit-learn

Code

# generate data
data = Data()
data.plot_dataset()

# init quantum kernel
qsvm = QSVM(data)
# fit kernel and test fit
qsvm.fit(test=True)

Output

Callable kernel classification test score: 1.0