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Found 5 papers, 3 papers with code
Improved Wavelets for Image Compression from Unitary Circuits
We benchmark the efficacy of several novel orthogonal, symmetric, dilation-3 wavelets, derived from a unitary circuit based construction, towards image compression.
Number-State Preserving Tensor Networks as Classifiers for Supervised Learning
We propose a restricted class of tensor network state, built from number-state preserving tensors, for supervised learning tasks.
Topological conformal defects with tensor networks
On the torus, the partition function $Z_{D}$ of the critical Ising model in the presence of a topological conformal defect $D$ is expressed in terms of the scaling dimensions $\Delta_{\alpha}$ and conformal spins $s_{\alpha}$ of a distinct set of primary fields (and their descendants, or conformal towers) of the Ising CFT.
Strongly Correlated Electrons Statistical Mechanics High Energy Physics - Theory Quantum Physics
Algorithms for tensor network renormalization
We discuss in detail algorithms for implementing tensor network renormalization (TNR) for the study of classical statistical and quantum many-body systems.
Strongly Correlated Electrons Quantum Physics
NCON: A tensor network contractor for MATLAB
This article presents a MATLAB function ncon(), or "Network CONtractor", which accepts as its input a tensor network and a contraction sequence describing how this network may be reduced to a single tensor or number.
Computational Physics Strongly Correlated Electrons Quantum Physics
