Diagnosing critical network failures using quantum machine learning | Rowen Wu on behalf of SoftBank

In a world with high-capacity and low-latency networks, the ability to efficiently handle huge volumes of data is critical to preventing service disruptions. As demands for communication services have exploded, the complexity of diagnostic schemes has similarly increased, prompting research into approaches using classical and quantum machine learning. This study, conducted by SoftBank Group Corp., demonstrates a novel approach to quantum kernel learning for fault diagnosis using Q-CTRL’s Fire Opal error suppression to enable practical performance on IBM Quantum hardware. #quantumcomputing