Title: Challenge and Opportunity in Quantum Machine Learning
Abstract: Quantum learning machines have been broadly used in various works with different levels of claimed benefits. However, there are still several obstacles ahead, such as read-in, read-out, the effectiveness of learning machines, and ubiquitous quantum noise. In this talk, I will introduce these difficulties and our results to address/resolve them.