Size consistency of tensor network methods for quantum many-body systems

Article

关键词: DENSITY-MATRIX RENORMALIZATION;    STATES;   

DOI  :  10.1103/PhysRevB.88.121105

来源: SCIE

【 摘 要 】

Recently developed tensor network methods demonstrate great potential for addressing the quantum many-body problem, by constructing variational spaces with polynomially, instead of exponentially, scaled parameters. Constructing such an efficient tensor network, and thus the variational space, is a subtle problem and the main obstacle of the method. We demonstrate the necessity of size consistency in tensor network methods for their success in addressing the quantum many-body problem. We further demonstrate that size consistency is independent of the entanglement criterion, thus providing a general and tight constraint to construct the tensor network method. We propose a general and easy rule to construct a size-consistent tensor network.

【 授权许可】

Free