Particle physics data is unique and challenging due to its tremendous size and complicated structure stemming from its quantum nature. Rapidly improving quantum-computing technologies could be applied within the particle physics in order to help tackling such computing challenges. The goal of the workshop is to discuss the latest developments in the field of machine learning, quantum computation, and their application in high energy physics, and to brainstorm possible collaborative projects. We hope to bring together experts to better understand this intersection and reach the full potential of quantum computing and machine learning.