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Quantum Error Correction from Complexity in Brownian SYK

High Energy Physics - Theory 2023-08-16 v1 Quantum Physics

Abstract

We study the robustness of quantum error correction in a one-parameter ensemble of codes generated by the Brownian SYK model, where the parameter quantifies the encoding complexity. The robustness of error correction by a quantum code is upper bounded by the "mutual purity" of a certain entangled state between the code subspace and environment in the isometric extension of the error channel, where the mutual purity of a density matrix ρAB\rho_{AB} is the difference Fρ(A:B)Tr  ρAB2Tr  ρA2  Tr  ρB2\mathcal{F}_\rho (A:B) \equiv \mathrm{Tr}\;\rho_{AB}^2 - \mathrm{Tr}\;\rho_A^2\;\mathrm{Tr}\;\rho_B^2. We show that when the encoding complexity is small, the mutual purity is O(1)O(1) for the erasure of a small number of qubits (i.e., the encoding is fragile). However, this quantity decays exponentially, becoming O(1/N)O(1/N) for O(logN)O(\log N) encoding complexity. Further, at polynomial encoding complexity, the mutual purity saturates to a plateau of O(eN)O(e^{-N}). We also find a hierarchy of complexity scales associated to a tower of subleading contributions to the mutual purity that quantitatively, but not qualitatively, adjust our error correction bound as encoding complexity increases. In the AdS/CFT context, our results suggest that any portion of the entanglement wedge of a general boundary subregion AA with sufficiently high encoding complexity is robustly protected against low-rank errors acting on AA with no prior access to the encoding map. From the bulk point of view, we expect such bulk degrees of freedom to be causally inaccessible from the region AA despite being encoded in it.

Keywords

Cite

@article{arxiv.2301.07108,
  title  = {Quantum Error Correction from Complexity in Brownian SYK},
  author = {Vijay Balasubramanian and Arjun Kar and Cathy Li and Onkar Parrikar and Harshit Rajgadia},
  journal= {arXiv preprint arXiv:2301.07108},
  year   = {2023}
}

Comments

40+14 pages, 8 figures

R2 v1 2026-06-28T08:13:46.720Z