Learning an unknown quantum process is a central task for validation of the functioning of
near-term devices. The task is generally hard, requiring exponentially many measurements …

Among recent insights into learning quantum states, online learning and shadow
tomography procedures are notable for their ability to accurately predict expectation values …

Quantum state tomography with rigorous guarantees with respect to the trace distance, the
most operationally meaningful metric for distinguishing quantum states, has been studied …