Fast and robust quantum state tomography from few basis measurements

Understand

Quantum state tomography is a powerful, but resource-intensive, general solution for numerous quantum information processing tasks.

• This motivates the design of robust tomography procedures that use relevant resources as sparingly as possible.
• Important cost factors include the number of state copies and measurement settings, as well as classical postprocessing time and memory.
• In this work, we present and analyze an online tomography algorithm designed to optimize all the aforementioned resources at the cost of a worse dependence on accuracy.