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Trapped Ion Quantum Computing
Pairwise Liouvillian learning from randomized measurements: practical aspects and guidelines for operating the protocol in large-scale experiments
arXiv
Authors: William T. Lam, Manoj K. Joshi, Daniel Stilck França, Benoît Vermersch
Year
2026
Paper ID
67440
Status
Preprint
Abstract Read
~2 min
Abstract Words
77
Citations
N/A
Abstract
We review and numerically study a protocol for Liouvillian learning based on randomized Pauli states and measurements. In particular, in the two-body, long-range interactions, and single-body noise setting, we describe the complete workflow to obtain the coefficients of the Liouvillian in an efficient and pairwise manner, meaning that the required classical memory is independent of the system size. We also provide guidelines for choosing the parameters for data acquisition and postprocessing that minimize the total reconstruction error.
Why This Paper Matters
- This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- We review and numerically study a protocol for Liouvillian learning based on randomized Pauli states and measurements.
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