Hyper optimized contraction trees for large tensor networks and einsums
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Updated
May 5, 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
Interactive local editor for building tensor networks visually and generating readable Python code for tensornetwork, quimb, tensorkrowch, and einsum.
2D and 3D tensor network visualization, designed for torch, numpy, quimb, tensorkrowch, tenpy and tensornetwork compatibility
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