Author

Tao Xiang

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Preprint Jul 2026

Exact Neural-Network Representations of the Motzkin States

The results demonstrate that neural architectures can accurately capture highly non-trivial entanglement features inaccessible to conventional tensor networks, providing prototypic examples for benchmarking and a constructive design framework for future neural-network quantum state developments targeting strongly entan...

Runde Zha, Yun-Tian Gu, Chaohui Fan et al. · 0 citations

Preprint Jul 2026

Efficient classical simulation of two-dimensional long-range systems: Rydberg arrays and beyond

In variational Monte Carlo (VMC) calculations of $N$-site quantum systems with arbitrary all-to-all two-body interactions, evaluating the local energy generally costs $O(N^3)$. We introduce a new framework that reduces this cost to $O(N)$ for tensor network states, capable of scalable and accurate computation of real-t...

J. Chan, Tao Xiang, Yantao Wu · 0 citations