Downloading many-qubit entanglement from continuous-variable cluster states
Zhihua Han, Hoi-Kwan Lau
TL;DR
This work presents a top-down protocol to harvest many-qubit entanglement from efficiently generated continuous-variable cluster states by teleporting the CV entanglement into auxiliary qubits via conditional displacement and one-bit teleportation in a displaced-GKP basis. An equivalent circuit maps dominant CV imperfections into single-qubit preparation errors, enabling standard qubit quantum error correction to mitigate the downloaded entanglement. The analysis yields practical squeezing thresholds, notably 11.9 dB for fault-tolerant quantum computation and 5.4 dB for robust quantum memory or non-FTQC, and discusses hardware platforms where the protocol can be realized. The framework integrates CV and qubit technologies, offering a scalable route to versatile qubit cluster states with potential impact on quantum computation, sensing, and communication in hybrid systems.
Abstract
Many-body entanglement is an essential resource for many quantum technologies, but its scalable generation has been challenging on qubit platforms. However, the generation of continuous-variable (CV) entanglement can be extremely efficient, but its utility is rather limited. In this work, we propose a scheme to combine the best of both qubit and CV approaches: a systematic method to download useful many-qubit entanglement from the efficiently generated CV cluster states. Our protocol is based on one-bit teleportation of the qubit correlation encoded in the displaced Gottesman-Kitaev-Preskill basis. To characterize the practical performance of our scheme, we develop an equivalent circuit to map dominant CV errors to single-qubit preparation errors. Particularly, we relate finite squeezing error to qubit erasure, and show that only 5.4 dB squeezing is sufficient to implement robust qubit memory or quantum computation (QC), and 11.9 dB for fault-tolerant QC. Our protocol can be implemented with the operations that are common in many bosonic platforms.
