Quantum Computing with Multidimensional Continuous-Variable Cluster States in a Scalable Photonic Platform
Published in Physical Review Research, 2020
Continuous-variable (CV) cluster states are a fundamental resource for measurement-based quantum computing. In this work, we propose a method to generate large-scale, multidimensional CV cluster states by multiplexing in both the time and frequency domains. By utilizing a single squeezed-light source and standard telecommunications components, this architecture offers a highly scalable and robust platform for photonic quantum information processing.
Recommended citation: Bo-Han Wu, Rafael N. Alexander, Shuai Liu, and Zheshen Zhang. (2020). Physical Review Research. 2(2), 023138.
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