2014/05/31 by Peter C. Humphreys, W. Steven Kolthammer, Joshua Nunn +3 · 2 citations
Computer Science · Physics and Astronomy · #Computer science #Neural Networks and Reservoir Computing #Photonics #Physics #Quantum #Quantum Information and Cryptography #Quantum computer #Quantum imaging #Quantum information #Quantum mechanics #Quantum network #Quantum optics and atomic interactions #Quantum sensor #quant-ph
paper · pdf · doi:10.1103/physrevlett.113.130502
published as Phys. Rev. Lett. 113, 130502 (2014) · 5 pages, 6 figures, and supplementary information. Updated to be consistent with published version
openalex publication_date 2014/09/25 · arxiv created 2014/11/21 · arxiv updated 2014/11/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
We develop a scheme for time-frequency encoded continuous-variable cluster-state quantum computing using quantum memories. In particular, we propose a method to produce, manipulate, and measure two-dimensional cluster states in a single spatial mode by exploiting the intrinsic time-frequency selectivity of Raman quantum memories. Time-frequency encoding enables the scheme to be extremely compact, requiring a number of memories that are a linear function of only the number of different frequencies in which the computational state is encoded, independent of its temporal duration. We therefore show that quantum memories can be a powerful component for scalable photonic quantum information processing architectures.