Practical adaptive quantum tomography

TL;DR

This paper presents a fast, adaptable quantum tomography method that overcomes previous computational and applicability limitations, effectively handling mixed states, higher dimensions, and measurement restrictions.

Contribution

It introduces a heuristic combining online optimization with versatile data processing, improving efficiency and generality over prior methods.

Findings

Demonstrates effectiveness in mixed states

Handles higher-dimensional quantum systems

Works with restricted measurement settings

Abstract

We introduce a fast and accurate heuristic for adaptive tomography that addresses many of the limitations of prior methods. Previous approaches were either too computationally intensive or tailored to handle special cases such as single qubits or pure states. By contrast, our approach combines the efficiency of online optimization with generally applicable and well-motivated data-processing techniques. We numerically demonstrate these advantages in several scenarios including mixed states, higher-dimensional systems, and restricted measurements.