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Wavelets, MERA, and Holography

Talkat Tensor Networks and Simulations 2014 · 2014-04-21..04-24
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slides:none on file

Claims that wavelet bases map exactly onto a MERA-like tensor network built from repeated 2x2 unitary gates and that choosing gate angles gives known wavelets — for example theta = 30° yields D4 (Daubechies-4) coefficients. The construction implements scaling functions plus orthogonal wavelets, builds a direct-sum tree of smoothed modes for 1D single-particle quantum mechanics, removes block-edge discontinuities and preserves locality while producing the expected completeness and fractal-like fixed-point scaling.

AI-written summary · about

  1. 0:00Introduction to networks
  2. 5:56Single particle quantum
  3. 15:51Wavelet basics
  4. 27:55Scaling and wavelets
  5. 37:26Network applications
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