Positive bias makes tensor-network contraction tractable

Tensor network contraction is a powerful computational tool in quantum many-body physics, quantum information and quantum chemistry. The complexity of contracting a tensor network is thought to mainly depend on its entanglement properties, as reflected by the Schmidt rank across bipartite cuts. Here...

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Hauptverfasser:	Jiang, Jiaqing, Chen, Jielun, Schuch, Norbert, Hangleiter, Dominik
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computational Complexity Computer Science - Data Structures and Algorithms Physics - Quantum Physics
Online-Zugang:	Volltext bestellen
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