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Found 7 papers, 3 papers with code
Generative Modeling via Hierarchical Tensor Sketching
We propose a hierarchical tensor-network approach for approximating high-dimensional probability density via empirical distribution.
Generalization and Overfitting in Matrix Product State Machine Learning Architectures
We speculate that generalization properties of MPS depend on the properties of data: with one-dimensional data (for which the MPS ansatz is the most suitable) MPS is prone to overfitting, while with more complex data which cannot be fit by MPS exactly, overfitting may be much less significant.
Mott insulating states with competing orders in the triangular lattice Hubbard model
We propose a scenario in which time-reversal symmetry-broken states compete with stripy-spin states at lowest temperatures.
Strongly Correlated Electrons
The ITensor Software Library for Tensor Network Calculations
ITensor is a system for programming tensor network calculations with an interface modeled on tensor diagram notation, which allows users to focus on the connectivity of a tensor network without manually bookkeeping tensor indices.
Mathematical Software Strongly Correlated Electrons Computational Physics
Modeling Sequences with Quantum States: A Look Under the Hood
Because it is entangled, the reduced densities that describe subsystems also carry information about the complementary subsystem.
Towards Quantum Machine Learning with Tensor Networks
Machine learning is a promising application of quantum computing, but challenges remain as near-term devices will have a limited number of physical qubits and high error rates.
Supervised Learning with Quantum-Inspired Tensor Networks
Tensor networks are efficient representations of high-dimensional tensors which have been very successful for physics and mathematics applications.
