Author

Engineering

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Preprint Aug 2026

Toward Quantum Advantage in Learning Parities with Structured Noise via Lower Bound Optimization of the Condition Number

This work proposes a novel reduction method for Macaulay linear systems and derives a condition number lower bound incorporating a scaling factor, demonstrating that the optimized condition number translates directly into a reduction in circuit width, depth, and gate count.

Yu-Shen Han, Xue-Lian Li, Juntao Gao et al. · 0 citations

#machine learning Preprint Apr 2026

AutoREC: A reinforcement learning platform for equivalent circuit model generation

The platform supports an end-to-end workflow encompassing EIS preprocessing with selectable impedance representations, agent setup and training, ECM generation for new measurements, and visualization-based evaluation and analysis of agent decision-making.

A. Jaberi, Yonatan Kurniawan, Robert Black et al. · 0 citations