Quantum Machine Learning (SVM) Simplified

In this video, you will see the advantage of quantum machine learning, what is Support Vector Machine (SVM) and how it can be implemented in Quantum Computer. References: ML/ SVM https://www.youtube.com/watch?v=eHsErlPJWUU https://en.wikipedia.org/wiki/Support-vector_machine https://math.stackexchange.com/questions/1305925/why-is-the-svm-margin-equal-to-frac2-mathbfw/1306417#1306417 https://www.quora.com/How-can-you-find-support-vectors-when-programming-SVM http://www.cs.toronto.edu/~mbrubake/teaching/C11/Handouts/SupportVectorMachines.pdf https://www.geeksforgeeks.org/ml-using-svm-to-perform-classification-on-a-non-linear-dataset/ https://scikit-learn.org/stable/auto_examples/index.html#support-vector-machines Quantum ML / SVM https://en.wikipedia.org/wiki/Quantum_machine_learning https://towardsdatascience.com/support-vector-machine-introduction-to-machine-learning-algorithms-934a444fca47 https://lab.quantum-computing.ibm.com/user/5d668e8478b7720012c6b47f/lab/workspaces/auto-c/tree/qiskit-tutorials/qiskit/machine_learning/01_qsvm_classification.ipynb Quantum support vector machine for big data classification, Patrick et al (https://arxiv.org/pdf/1307.0471.pdf) Comparisons of Performance between Quantum and Classical Machine Learning by Christopher et al (https://scholar.smu.edu/cgi/viewcontent.cgi?article=1047&context=datasciencereview) Quantum Machine Learning by Jacob et al (https://arxiv.org/pdf/1611.09347.pdf) Quantum machine learning in feature Hilbert spaces by Maria et al (https://arxiv.org/pdf/1803.07128.pdf) Supervised learning with quantum enhanced feature spaces by Vojtech et al (https://arxiv.org/pdf/1804.11326.pdf) https://indico.cern.ch/event/868940/contributions/3814309/attachments/2080749/3495472/QMLHEP_ICHEP2020.pdf Quantum-enhanced Supervised Learning with Variational Quantum Circuits by Sevak (https://theses.liacs.nl/pdf/2018-2019-MardirosianSevak.pdf)