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Trapped Ion Quantum Computing
Superconducting Qubits
mathbb{Z}2 lattice gauge theories and Kitaev's toric code: A scheme for analog quantum simulation
arXiv
Authors: Lukas Homeier, Christian Schweizer, Monika Aidelsburger, Arkady Fedorov, Fabian Grusdt
Year
2020
Paper ID
18583
Status
Preprint
Abstract Read
~2 min
Abstract Words
193
Citations
N/A
Abstract
Kitaev's toric code is an exactly solvable model with mathbb{Z}2-topological order, which has potential applications in quantum computation and error correction. However, a direct experimental realization remains an open challenge. Here, we propose a building block for mathbb{Z}2 lattice gauge theories coupled to dynamical matter and demonstrate how it allows for an implementation of the toric-code ground state and its topological excitations. This is achieved by introducing separate matter excitations on individual plaquettes, whose motion induce the required plaquette terms. The proposed building block is realized in the second-order coupling regime and is well suited for implementations with superconducting qubits. Furthermore, we propose a pathway to prepare topologically non-trivial initial states during which a large gap on the order of the underlying coupling strength is present. This is verified by both analytical arguments and numerical studies. Moreover, we outline experimental signatures of the ground-state wavefunction and introduce a minimal braiding protocol. Detecting a π-phase shift between Ramsey fringes in this protocol reveals the anyonic excitations of the toric-code Hamiltonian in a system with only three triangular plaquettes. Our work paves the way for realizing non-Abelian anyons in analog quantum simulators.
Why This Paper Matters
- This paper contributes to the Superconducting Qubits research area in the Quantum Articles archive.
- It adds a 2020 reference point for readers tracking recent quantum research.
- Kitaev's toric code is an exactly solvable model with mathbbZ2-topological order, which has potential applications in quantum computation and error correction.
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