Quantum Machine Learning
Closing the divide between theoretical and practical quantum computation
Developing Flexible and Effective Algorithms
The Quantinuum Machine Learning (QML) team is developing flexible and effective algorithms that are designed to make the most of the current generation of quantum computers, known as Noisy Intermediate-Scale Quantum (NISQ). We are scaling quantum computation to more relevant problem sizes and demonstrating the wide applicability of quantum computing.
Our mission is to deliver high-impact software applications of near-term quantum computers in a wide spectrum of industries. Our vision is to close the divide between theoretical and practical quantum computation, and at our foundation are the three core values of scientific ingenuity, application pioneering, and near-term impact.
Finding New Solutions
As the quantum computers improve, the ability to solve real-world business problems grows. Read more about our groundbreaking work in Quantum Machine Learning.