Measuring full counting statistics in a trapped-ion quantum simulator
Lata Kh Joshi, Filiberto Ares, Manoj K. Joshi, Christian F. Roos, Pasquale Calabrese

TL;DR
This paper demonstrates how to measure full counting statistics and probability distribution functions of quantum observables in a trapped-ion quantum simulator using classical shadows, enabling comprehensive fluctuation analysis.
Contribution
It introduces a measurement scheme combining classical shadows with random basis measurements to efficiently access FCS and PDF in quantum simulators.
Findings
Successful measurement of FCS and PDF for magnetization in a trapped-ion system
Efficient access to quantum fluctuations of subsystems using the proposed method
Applicable to various operators and subsystem choices in quantum simulations
Abstract
In quantum mechanics, the probability distribution function (PDF) and full counting statistics (FCS) play a fundamental role in characterizing the fluctuations of quantum observables, as they encode the complete information about these fluctuations. In this letter, we measure these two quantities in a trapped-ion quantum simulator for the transverse and longitudinal magnetization within a subsystem. We utilize the toolbox of classical shadows to postprocess the measurements performed in random bases. The measurement scheme efficiently allows access to the FCS and PDF of all possible operators on desired choices of subsystems of an extended quantum system.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum Mechanics and Applications
