謝明修所長受邀至 University of Chicago 演講

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.

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