Having Trouble Understanding Quantum Machine Learning?
Implementing the Quantum Approximate Optimization Algorithm using functional programming
Even though quantum machine learning (QML) — that is, using quantum computing to solve machine learning algorithms — is one of the most promising technologies, it is as challenging!
In today’s post, we look at the Quantum Approximate Optimization Algorithm (QAOA) from a functional programming perspective.
Do you want to learn about QAOA in-depth and hands-on?
The brand-new Volume 2: Combinatorial Optimization is all about how to solve optimization problems using the Variational Quantum Eigensolver and the Quantum Approximate Optimization Algorithm.
Do you want to get started with Quantum Machine Learning? Have a look at Hands-On Quantum Machine Learning With Python.
Get the first three chapters for free here.