Mixed-State Topological Order under Coherent Noises
Seunghun Lee, Eun-Gook Moon

TL;DR
This paper studies how mixed-state topological order in the 2D toric code is affected by realistic coherent noises, revealing stability under certain noise types and identifying phase boundaries critical for quantum error correction.
Contribution
It establishes a connection between decohered topological phases and non-Hermitian statistical mechanics, providing analytical and numerical insights into error thresholds under coherent noise.
Findings
Topological order remains stable under random Y-axis rotation noise.
Extended critical regions are found at phase boundaries, linked to non-Hermitian physics.
Upper bounds for error thresholds are identified at phase transition points.
Abstract
Mixed-state phases of matter under local decoherence have recently garnered significant attention due to the ubiquitous presence of noise in current quantum processors. One of the key issues is understanding how topological quantum memory is affected by realistic coherent noises, such as random rotation noise and amplitude damping noise. In this work, we investigate the intrinsic error threshold of the two-dimensional toric code, a paradigmatic topological quantum memory, under these coherent noises by employing both analytical and numerical methods based on the doubled Hilbert space formalism. A connection between the mixed-state phase of the decohered toric code and a non-Hermitian Ashkin-Teller-type statistical mechanics model is established, and the mixed-state phase diagrams under the coherent noises are obtained. We find remarkable stability of mixed-state topological order under…
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Taxonomy
TopicsNeural Networks and Applications
