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A subpolynomial-time algorithm for the free energy of one-dimensional...

Talkat ITCS 2023 · 2023-01-10..01-13· [quantum-computing, machine-learning]
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Algorithm computes thermodynamic-limit free energy for translation-invariant 1D quantum chains with error ε in time exp(O(log(1/ε)/log log(1/ε))) — a subpolynomial runtime in 1/ε. Method builds finite noncommutative transfer maps (Araki’s construction), uses Collatz–Wielandt bounds, a quantitative primitivity estimate and Perron–Frobenius/Hilbert projective-metric arguments to extract spectral radius and local marginals. Implementation returns marginals directly and on the XY test it reaches machine-precision on seconds-scale compared to the analytic solution.

AI-written summary · about

  1. 0:00Introduction
  2. 0:30Setup
  3. 2:17Partition function
  4. 4:39Alternative formulas
  5. 6:20Main result
  6. 8:48Hamiltonian
  7. 10:18Classical case
  8. 10:58Petition function
  9. 14:00Quantum case
  10. 16:19Noncommunity differential matrix
  11. 18:29Eigenvector
  12. 20:30Conclusion
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