Coherent manipulation of graph states composed of finite-energy Gottesman-Kitaev-Preskill-encoded qubits
Kaushik P. Seshadreesan, Prajit Dhara, Ashlesha Patil, Liang Jiang,, Saikat Guha

TL;DR
This paper provides an exact model for finite-energy GKP-encoded qubit graph states, crucial for advancing measurement-based quantum computing with realistic photonic qubits.
Contribution
It introduces a coherent superposition framework for finite-energy GKP graph states and derives transformation rules for their covariance and displacement under error correction and fusion.
Findings
Exact description of finite-energy GKP graph states as Gaussian ensembles
Transformation rules for covariance matrix and displacement vector
Insights into error correction and noise in realistic GKP qubits
Abstract
Graph states are a central resource in measurement-based quantum information processing. In the photonic qubit architecture based on Gottesman-Kitaev-Preskill (GKP) encoding, the generation of high-fidelity graph states composed of realistic, finite-energy approximate GKP-encoded qubits thus constitutes a key task. We consider the finite-energy approximation of GKP qubit states given by a coherent superposition of shifted finite-squeezed vacuum states, where the displacements are Gaussian distributed. We present an exact description of graph states composed of such approximate GKP qubits as a coherent superposition of a Gaussian ensemble of randomly displaced ideal GKP-qubit graph states. We determine the transformation rules for the covariance matrix and the mean displacement vector of the Gaussian distribution of the ensemble under tools such as GKP-Steane error correction and fusion…
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