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arXiv 2009.02606cond-mat.str-elcond-mat.stat-mechquant-ph
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酉张量网络电路的优化方案

Optimization schemes for unitary tensor-network circuit

Reza Haghshenas

摘要:

讨论了具有不同网络结构的酉张量网络电路的变分优化问题。该方法是基于多尺度纠缠重整化算法的推广和具有有效线搜索的共轭梯度法。通过研究强无序磁场中的海森堡模型和张量网络$QR$分解,给出了不同网络结构的基准计算。

英文摘要:

We discuss the variational optimization of a unitary tensor-network circuit with different network structures. The ansatz is performed based on a generalization of well-developed multi-scale entanglement renormalization algorithm and also the conjugate-gradient method with an effective line search. We present the benchmarking calculations for different network structures by studying the Heisenberg model in a strongly disordered magnetic field and a tensor-network $QR$-decomposition.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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