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Trapped Ion Quantum Computing
Sequence and Image Transformations with Monarq: Quantum Implementations for NISQ Devices
arXiv
Authors: Jan Balewski, Roel Van Beeumen, E. Wes Bethel, Talita Perciano
Year
2026
Paper ID
25861
Status
Preprint
Abstract Read
~2 min
Abstract Words
71
Citations
N/A
Abstract
We introduce Monarq, a unified quantum data processing framework that combines QCrank encoding with the EHands protocol for polynomial transformations, and demonstrate its implementation on noisy intermediate-scale quantum (NISQ) hardware. This framework provides fundamental quantum building blocks for signal and image processing tasks, including convolution, discrete-time Fourier transform (DFT), squared gradient computation, and edge detection, serving as a reference for a broad class of data processing applications on near-term quantum devices.
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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 introduce Monarq, a unified quantum data processing framework that combines QCrank encoding with the EHands protocol for polynomial transformations, and demonstrate its...
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