Modular architectures to deterministically generate graph states
- URL: http://arxiv.org/abs/2206.11307v1
- Date: Wed, 22 Jun 2022 18:17:38 GMT
- Title: Modular architectures to deterministically generate graph states
- Authors: Hassan Shapourian and Alireza Shabani
- Abstract summary: Graph states are a family of stabilizer states which can be tailored towards various applications in photonic quantum computing and quantum communication.
We present a modular design based on quantum dot emitters coupled to a waveguide and optical fiber delay lines to deterministically generate N-dimensional cluster states.
We demonstrate a fault-tolerant quantum memory with an error threshold of 0.53% in the case of a 3d graph state on a Raussendorf-Harrington-Goyal lattice.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Graph states are a family of stabilizer states which can be tailored towards
various applications in photonic quantum computing and quantum communication.
In this paper, we present a modular design based on quantum dot emitters
coupled to a waveguide and optical fiber delay lines to deterministically
generate N-dimensional cluster states and other useful graph states such as
tree states and repeater states. Unlike previous proposals, our design requires
no two-qubit gates on quantum dots and at most one optical switch, thereby,
minimizing challenges usually posed by these requirements. Furthermore, we
discuss the error model for our design and demonstrate a fault-tolerant quantum
memory with an error threshold of 0.53% in the case of a 3d graph state on a
Raussendorf-Harrington-Goyal (RHG) lattice. We also provide a fundamental upper
bound on the correctable loss in the fault-tolerant RHG state based on the
percolation theory, which is 1.24 dB or 0.24 dB depending on whether the state
is directly generated or obtained from a simple cubic cluster state,
respectively.
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