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Automatic Identification of Dendritic Branches and their Orientation
Published on: September 17, 2021
QuTree: A tree tensor network package
Roman Ellerbrock1,2,3, K Grace Johnson1,2, Stefan Seritan1,2
1Department of Chemistry and The PULSE Institute, Stanford University, Stanford, California 94305, USA.
Abstract:
We present QuTree, a C++ library for tree tensor network approaches. QuTree provides class structures for tensors, tensor trees, and related linear algebra functions that facilitate the fast development of tree tensor network approaches such as the multilayer multiconfigurational time-dependent Hartree approach or the density matrix renormalization group approach and its various extensions. We investigate the efficiency of relevant tensor and tensor network operations and show that the overhead for managing the network structure is negligible, even in cases with a million leaves and small tensors. QuTree focuses on providing simple, high-level routines while retaining easy access to the backend to facilitate novel developments. We demonstrate the capabilities of the package by computing the eigenstates of coupled harmonic oscillator Hamiltonians and performing random circuit simulations on a virtual quantum computer.
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