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Trapped Ion Quantum Computing

Schmidt quantum compressor

arXiv
Authors: Israel F. Araujo, Hyeondo Oh, Nayeli A. Rodríguez-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 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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