D-Wave's 'Quadrant' Machine Learning Does More With Less Data

D-Wave announced "Quadrant," a new business unit that will provide machine learning services powered by both CPU/GPUs and its quantum annealing computer. D-Wave's Quadrant algorithms will be able to more efficiently provide accurate results with less training data compared to classical deep learning solutions that require significant amounts of labeled data. One of the promises of quantum computers has been that they are so much better at calculating multiple possibilities at the same time and finding the "optimum" result for a variety of problems. D-Wave's quantum annealing computer (a more specialized kind of quantum computer) has already been used in real-world applications such as optimizing traffic flow. Most of the machine learning (ML) or artificial intelligence (AI) solutions out there currently need millions and millions of data points in order to come up with an accurate model that can then be used in the learn world effectively.