In quantum computing, there has been an emergence of tool kits for quantum circuit design. Amongst many of them, one of the most ambitious projects comes from IBM from within their IBM-Q team: Qiskit. Being open-source and backed by an enormous amount of developers, it is quickly becoming a standard tool kit.
In this talk, I will showcase an application of Qiskit towards quantum machine learning having a quantum classifier – the so-called Hadamard-classifier – implemented in the mechanics of sci-kit learn standard toolkit for machine learning. Also, we will delve into an improvement of the Hadamard classifier, the Swap-Test classifier and its implementation on IBM’s newest quantum device, IBMQ-Ourense.