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Trapped Ion Quantum Computing
Benchmarking Techniques for Decoded Quantum Interferometry
arXiv
Authors: Leon Bollmann, Maximilian Hess
Year
2026
Paper ID
35709
Status
Preprint
Abstract Read
~2 min
Abstract Words
86
Citations
N/A
Abstract
We develop a new benchmarking scheme for the Decoded Quantum Interferometry (DQI) algorithm quantifying the number of quantum gates required to obtain an optimal solution to a problem amenable to DQI. We apply the benchmarking scheme to the Binary Paint Shop Problem (BPSP) in order to benchmark the performance of DQI against a state of the art classical solver. To do so, we provide an explicit construction of a quantum circuit implementation of a greedy decoder for low-density parity check codes arising from max-2-XORSAT problems.
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- This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
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- We develop a new benchmarking scheme for the Decoded Quantum Interferometry (DQI) algorithm quantifying the number of quantum gates required to obtain an optimal solution to a...
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