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Updated: Aug 16, 2025

Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses
Published on: June 7, 2018
Optimal Thresholds for Fracton Codes and Random Spin Models with Subsystem Symmetry
Hao Song1,2,3, Janik Schönmeier-Kromer4,5, Ke Liu4,5
1CAS Key Laboratory of Theoretical Physics, Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 100190, China.
Fracton codes offer a novel approach to quantum error correction, demonstrating significantly higher error thresholds than traditional topological codes. This makes fracton phases promising for robust quantum memory development.
Area of Science:
- Quantum Information Science
- Condensed Matter Physics
- Quantum Computing
Background:
- Fracton models represent novel gapped quantum phases beyond conventional topological order.
- These phases feature immobile excitations, offering unique properties for quantum technologies.
Purpose of the Study:
- To calculate optimal error thresholds for quantum error correcting codes based on fracton models.
- To investigate the potential of fracton phases as quantum memory platforms.
Main Methods:
- Mapping error correction for bit-flip and phase-flip noise to statistical models with Ising variables and random multibody couplings.
- Utilizing large-scale parallel tempering Monte Carlo simulations to generate disorder-temperature phase diagrams.
- Analyzing subsystem symmetries distinct from global symmetries.
Main Results:
- The X-cube fracton code exhibits a minimum error threshold of 7.5%, substantially higher than 3D topological codes like the toric code (3.3%) and color code (1.9%).
- Absence of glass order at the Nishimori line was predicted.
- The study identified unconventional subsystem symmetries in the error-correction models.
Conclusions:
- Fracton codes demonstrate superior error resilience compared to existing 3D topological codes.
- The findings highlight the significant potential of fracton phases for building stable and efficient quantum memory systems.
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