Experimental Demonstration of Self-Guided Quantum Tomography
Robert J. Chapman, Christopher Ferrie, Alberto Peruzzo

TL;DR
This paper demonstrates an autonomous, efficient, and noise-robust quantum tomography method that accurately characterizes quantum states with fewer resources, suitable for current and near-future quantum experiments.
Contribution
It introduces and experimentally validates self-guided quantum tomography, a novel autonomous technique that improves robustness and efficiency over traditional methods.
Findings
Robust against statistical noise and experimental errors
Effective for single and entangled two-qubit states
Requires less computational resources than standard techniques
Abstract
Robust, accurate and efficient quantum tomography is key for future quantum technologies. Traditional methods are impractical for even medium sized systems and are not robust against noise and errors. Here we report on an experimental demonstration of self-guided quantum tomography; an autonomous, fast, robust and precise technique for measuring quantum states with significantly less computational resources than standard techniques. The quantum state is iteratively learned by treating tomography as a projection measurement optimization problem. We experimentally demonstrate robustness against both statistical noise and experimental errors on both single qubit and entangled two-qubit states. Our demonstration provides a method of full quantum state characterization in current and near-future experiments where standard techniques are unfeasible.
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Taxonomy
TopicsNeural Networks and Reservoir Computing · Quantum Information and Cryptography · Random lasers and scattering media
