Efficient graph state generation and artificial error detection
Qing Lin, Bing He

TL;DR
This paper presents an efficient method for generating photonic graph states using cross phase modulation and controlled-path gates, and introduces a way to detect artificial errors during the process with high success probability.
Contribution
The paper proposes a novel scheme for cascade CZ operations to generate universal cluster states efficiently and introduces an error detection method for large-scale graph state generation.
Findings
Efficient generation of wheel cluster states with simpler processes.
Ability to detect artificial errors with a success probability of 1/2.
Utilization of cross phase modulation and controlled-path gates for improved performance.
Abstract
How to generate photonic cluster state or graph state efficiently is the main problem in optical measurement-based quantum computation. Assisted by the cross phase modulation technique, we propose an efficient scheme to realize the cascade CZ operation, which could be used to generate universal cluster state, with the controlled-path gate as element operation. Especially, for the wheel cluster state, the generation processes are obviously simpler than the former approaches. Moreover, we consider the artificial error that one forgot to operate one or some single photons during the generation processes cross-type, star-type graph state. This error likely occurs in the large scale of graph state generation with one-by-one pattern and is firstly considered in this paper. With the present approach, it is possible to judge whether all the involved single photons are connected as desired or…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
