How to combine interesting quantum computing properties with a classic Machine Learning technique — Introduction Although quantum computers are not yet accessible for everyone, Quantum Machine Learning (QML) is a promising field of study as it uses the intrinsic probabilistic nature of quantum systems to develop models. Right now, data scientists around the world are trying to understand how to leverage the quantum paradigm to…

The second part of the tutorial on designing very simple quantum circuits Introduction In my previous post I started a tutorial on how to design quantum circuits with Qiskit. …

A basic tutorial on designing very simple quantum circuits in Qiskit Introduction In a previous post I described the beginning of my learning path in Quantum Machine Learning (QML) and how I decided to use Qiskit. …

Introduction Quantum computing is getting increasing attention from professionals and academics because of its potential, as it might provide up to exponential speed-up for some classes of algorithms. For data scientists, Quantum Machine Learning (QML) is a promising field of study, which uses quantum computers to develop quantum models. Personally, I…

Introduction In the previous posts (here and here) I have started talking about QML, why and how to study and from now on I will start to share my studies and findings, which so far are very basic. Today I am going to design a Variational Quantum Classifier (VQC), which is…

This is my second post about Quantum Machine Learning (QML), this is the first one, on why you should start studying QML. Starting to study quantum machine learning was hard because I didn’t know how much I needed to know about quantum mechanics and computing. I had quantum mechanics 101…

Introduction Hello! Thank you for stopping by in my first of many posts on Medium. Here I intend to write and share posts about Quantum Machine Learning (QML). Why am I doing this and why Quantum ML? In the last few months I have been thinking about career and future and that many tools that I currently work with nowadays…