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Trapped Ion Quantum Computing
Kostant relation in filtered randomized benchmarking for passive bosonic devices
arXiv
Authors: David Amaro-Alcalá
Year
2025
Paper ID
17749
Status
Preprint
Abstract Read
~2 min
Abstract Words
87
Citations
N/A
Abstract
We reduce the cost of the current bosonic randomized benchmarking proposal. First, we introduce a filter function using immanants. With this filter, we avoid the need to compute Clebsch-Gordan coefficients. Our filter uses the same data as the original, although we propose a distinct data collection process that requires a single type of measurement. Furthermore, we argue that weak coherent states and intensity measurements are sufficient to proceed with the characterization. Our work could then allow simpler platforms to be characterized and simplify the data analysis process.
Why This Paper Matters
- This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
- It adds a 2025 reference point for readers tracking recent quantum research.
- We reduce the cost of the current bosonic randomized benchmarking proposal.
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