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Separating Quantum from Classical with k-fold Forrelation and Friends

Talkat Beyond the Boolean Cube 2023 · 2023-06-26..06-29· [quantum-computing]
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slides:none on file

k-fold Forrelation is easy for quantum machines (about k/2 queries, BQP-complete) but hard for simple classical models: any decision tree or parity decision tree needs about n^{1-1/k} classical lower bound queries (k constant, so k=2 gives ≈√n). The proof uses l1-Fourier growth to bound level-wise Fourier weight and pathwise analysis/Gaussian interpolation (Talagrand’s smart path, integration by parts) to cancel high-degree terms so only low-level moments matter.

AI-written summary · about

  1. 0:00Start
  2. 7:002-fold Forrelation
  3. 11:253-fold Forrelation
  4. 23:05Lower Bounds via Fourier Growth
  5. 26:06Smart Path Method
  6. 27:56Main Theorem
  7. 31:50Fourier Growth of Decision Trees
  8. 37:53Gaussian Interpolation
  9. 50:31Gaussian Integration by Parts
  10. 53:32Summary
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