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Preprint Aug 2026

From Barren Plateaus to SPSA Optimization in Variational Quantum Eigensolvers

The barren plateau (BP) phenomenon poses a fundamental challenge to the trainability of variational quantum eigensolvers (VQEs) by causing exponentially vanishing gradients as the system size increases. While extensive studies have investigated the geometric origins of BP, its impact on the optimization dynamics and co...

Zhen Qin · 0 citations
#machine learning Preprint Oct 2026

Generalization of Transformer-Based Neural Quantum States via In-Context Learning

Neural quantum states based on modern deep learning architectures have emerged as powerful representations for quantum many-body systems. In particular, Transformer-based neural quantum states provide expressive models capable of capturing long-range correlations, and their empirical generalization performance has rece...

Zhen Qin, Qing-Da Qu, A. Hero · 0 citations

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