Data and source code for the paper entitled "Quantum circuit complexity and unsupervised machine learning of topological order ".
收藏DataCite Commons2026-04-20 更新2026-04-25 收录
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https://springernature.figshare.com/articles/dataset/Data_and_source_code_for_the_paper_entitled_Quantum_circuit_complexity_and_unsupervised_machine_learning_of_topological_order_/29828336
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资源简介：
The codes provide unsupervised clustering of topological quantum phases / orders of bond alternating XXZ spin chain, Kitaev's toric code ground state, etc., derived theoretically from Nielsen's quantum circuit complexity; data and ground states are calculated from the MPS-based DMRG using the TeNPy Library (https://github.com/tenpy/tenpy).
提供机构：
figshare
创建时间：
2025-08-05
