ИСТИНА

Quantum tomography is a procedure that estimates an unknown quantum state or a process, given the results of measurements. There exists a broad range of tomography protocols that vary in strategies for measurement selection and data processing. In this educational lecture, we focus on the basics of quantum tomography, especially, the single qubit case. The introductory part includes pictorial Bloch vector representation, measurement POVM formalism, and the mathematical description of quantum processes (the operator sum and the chi matrix). Then linear inversion and maximum likelihood methods for quantum tomography are discussed. The lecture is accompanied by a hackathon, where the participants will try to implement a quantum tomography of an unknown process ("black box"). The black box can be accessed via the internet by sending measurement requests and reading the results. The participants will be divided into teams. Programming skills are required.