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Trapped Ion Quantum Computing
Schmidt quantum compressor
arXiv
Authors: Israel F. Araujo, Hyeondo Oh, Nayeli A. RodrÃguez-Briones, Daniel K. Park
Year
2024
Paper ID
60493
Status
Preprint
Abstract Read
~2 min
Abstract Words
106
Citations
N/A
Abstract
This work introduces the Schmidt quantum compressor, an innovative approach to quantum data compression that leverages the principles of Schmidt decomposition to encode quantum information efficiently. In contrast to traditional variational quantum autoencoders, which depend on stochastic optimization and face challenges such as shot noise, barren plateaus, and non-convex optimization landscapes, our deterministic method substantially reduces the complexity and computational overhead of quantum data compression. We evaluate the performance of the compressor through numerical experiments, demonstrating its ability to achieve high fidelity in quantum state reconstruction compared to variational quantum algorithms. Furthermore, we demonstrate the practical utility of the Schmidt quantum compressor in one-class classification tasks.
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- This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
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- This work introduces the Schmidt quantum compressor, an innovative approach to quantum data compression that leverages the principles of Schmidt decomposition to encode quantum...
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