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most citedStability and Loop Models from Decohering Non-Abelian Topological Order

11 citations · 20 across the 6 of their papers we have counts for

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quant-ph2026

Climbing the Fusion Tree: Center Ordering and Decoding Hierarchy in Non-Abelian Mixed States

Pablo Sala, Vlad Temkin, Cenke Xu +2

We develop an operational approach to strong-to-weak spontaneous symmetry breaking (sw-SSB) of a non-Abelian symmetry group G. We formulate it as the decoding task of distinguishin…

quant-ph2026

Statistical Mechanics and Symmetries of Non-Abelian Anyon Proliferation: From Deformation to Decoherence

Avi Vadali, Robijn Vanhove, Ruben Verresen +2

Topological quantum computation relies on braiding non-Abelian anyons, but requires the underlying topological order to survive imperfect state preparation and environmental noise.…

quant-ph2026

Quantum sensing with critical systems: impact of symmetry, imperfections, and decoherence

Yinan Chen, Sara Murciano, Pablo Sala +1

Entangled many-body states enable high-precision quantum sensing beyond the standard quantum limit. We develop interferometric sensing protocols based on quantum critical wavefunct…

quant-ph2025★ 1 cited

Intrinsic Heralding and Optimal Decoders for Non-Abelian Topological Order

Dian Jing, Pablo Sala, Liang Jiang +1

Topological order (TO) provides a natural platform for storing and manipulating quantum information. However, its stability to noise has only been systematically understood for Abe…

quant-ph2025

Practical roadmap to measurement-altered criticality in Rydberg arrays

Stephen Naus, Yue Liu, Sara Murciano +3

Weak measurements have been predicted to dramatically alter universal properties of quantum critical wavefunctions, though experimental validation remains an open problem. Here we…

quant-ph2024★ 11 cited

Stability and Loop Models from Decohering Non-Abelian Topological Order

Pablo Sala, Ruben Verresen

Decohering topological order (TO) is central to the many-body physics of open quantum matter and decoding transitions. We identify relevant statistical mechanical models for decohe…