Quantum Machine Learning with Superposition of Causal Order

Quantum machine learning is one of the hot areas of quantum computation. Some researchers are exploring how quantum algorithms can speed up classical machine learning tasks, and others are exploring how a machine can perform genuinely quantum tasks, such as learning an unknown quantum gate. In this project, we will explore how a quantum learning machine can take advantage of a new quantum resource, namely the ability to query different processes in a indefinite order.