Engineering complex topological memories from simple Abelian models
arXiv:0908.0708 · doi:10.1016/j.aop.2011.05.008
Abstract
In three spatial dimensions, particles are limited to either bosonic or fermionic statistics. Two-dimensional systems, on the other hand, can support anyonic quasiparticles exhibiting richer statistical behaviours. An exciting proposal for quantum computation is to employ anyonic statistics to manipulate information. Since such statistical evolutions depend only on topological characteristics, the resulting computation is intrinsically resilient to errors. So-called non-Abelian anyons are most promising for quantum computation, but their physical realization may prove to be complex. Abelian anyons, however, are easier to understand theoretically and realize experimentally. Here we show that complex topological memories inspired by non-Abelian anyons can be engineered in Abelian models. We explicitly demonstrate the control procedures for the encoding and manipulation of quantum information in specific lattice models that can be implemented in the laboratory. This bridges the gap between requirements for anyonic quantum computation and the potential of state-of-the-art technology.
15 pages, 3 figures. To appear in Annals of Physics
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- Quantum memories at finite temperature
- Magic state distillation in all prime dimensions using quantum Reed-Muller codes
- Breakdown of a perturbed Z_N topological phase
- Cellular-automaton decoders for topological quantum memories
- Decoding non-Abelian topological quantum memories
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- SU() Toric Code and Nonabelian Anyons
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