Quantum machine learning is an emerging interdisciplinary research area at the intersection of quantum physics and machine learning.
What can we do with QML today?
Today’s fully quantum computers and quantum simulators are large enough to explore potential use cases by integrating them with classical computers. The technology is in the early stages of research and development, however, it is possible to begin exploring the potential of these systems today. Chippr is working on automating the process of solution deployment, system interactions, and managing system’s architecture to enable robust enterprise ready systems for whatever the future holds.
When will quantum computers be ‘real’?
Industry experts predict that in the next few years we will have a large enough quantum computer to enable an advantage for some real business problems. This timeline is still in the process of evolving and the space is constantly growing. It is, however, extremely unlikely that most humans will ever directly interact with a quantum system and in the event they do it should be equally extremely unlikely that they will know they have. The ideal system in our view is one that seamlessly integrates the user, the environment, and the system to solve a problem.
“Week in Quantum Machine Learning” is a weekly blog post featuring a collection of news articles, upcoming events, development updates, and research papers.