Hyper optimized contraction trees for large tensor networks and einsums
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Updated
Mar 17, 2026 - Python
Hyper optimized contraction trees for large tensor networks and einsums
Tensor Networks for Machine Learning
Implementation of a Quantum Fourier Transform on quantum circuit with qiskit and cirq and on Matrix Product States with quimb and personal implementation
2D and 3D tensor network visualization, designed for torch, numpy, quimb, tensorkrowch, tenpy and tensornetwork compatibility
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