Adaptive-weighted tree tensor networks for disordered quantum many-body systems

Article

关键词: MATRIX PRODUCT STATES;    RENORMALIZATION-GROUP;    SPIN;    ENTANGLEMENT;   

DOI  :  10.1103/PhysRevB.105.214201

来源: SCIE

【 摘 要 】

We introduce an adaptive-weighted tree tensor network for the study of disordered and inhomogeneous quantum many-body systems. This Ansatz is assembled on the basis of the random couplings of the physical system with a procedure that considers a tunable weight parameter to prevent completely unbalanced trees. Using this approach, we compute the ground state of the two-dimensional quantum Ising model in the presence of quenched random disorder and frustration, with lattice size up to 32 x 32. We compare the results with the ones obtained using the standard homogeneous tree tensor networks and the completely self-assembled tree tensor networks, demonstrating a clear improvement of numerical precision as a function of the weight parameter, especially for large system sizes.

【 授权许可】

Free