D-Wave’s recently announced Leap 2, a new version of its quantum cloud service for building and deploying quantum computing applications. D-Wave has been useful with optimization and machine learning use casesD-Wave’s customer applications are about 50% optimization, 20% AI and ML, 10% materials science, and 20% other.
Optimization applications are widespread because they’re currently largely solved using brute force and raw computing power. If quantum computers can quickly see all the possible solutions, an optimal solution can become apparent more quickly. The complexity of incorporating quantum computing into the machine learning workflow presents an obstacle. For machine learning practitioners programming machine learning workflow is more challenging because machine learning programs are multifaceted.