Bridging magic and non-Gaussian resources via Gottesman-Kitaev-Preskill encoding
Oliver Hahn, Giulia Ferrini, Ryuji Takagi

TL;DR
This paper establishes a fundamental connection between non-Gaussian states in continuous-variable systems and magic states in discrete-variable systems through GKP encoding, linking their resource measures and implications for quantum computation.
Contribution
It introduces a magic measure based on Wigner function negativity for GKP-encoded states and demonstrates the necessity of non-Gaussian operations for certain logical gates.
Findings
Negativity of the continuous-variable Wigner function matches a discrete magic measure.
Provides a continuous-variable representation of stabilizer Rénnyi entropy.
Shows non-Gaussian operations are required for implementing multi-qubit non-Clifford gates in GKP codes.
Abstract
Although the similarity between non-stabilizer states -- also known as magic states -- in discrete-variable systems and non-Gaussian states in continuous-variable systems has widely been recognized, the precise connections between these two notions have still been unclear. We establish a fundamental link between these two quantum resources via the Gottesman-Kitaev-Preskill (GKP) encoding. We show that the negativity of the continuous-variable Wigner function for an encoded GKP state coincides with a magic measure we introduce, which matches the negativity of the discrete Wigner function for odd dimensions. We also provide a continuous-variable representation of the stabilizer R\'enyi entropy -- a recent proposal for a magic measure for multi-qubit states. With this in hand, we give a classical simulation algorithm with runtime scaling with the resource contents, quantified by our magic…
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Taxonomy
TopicsNeural Networks and Applications · Chaos-based Image/Signal Encryption · Face and Expression Recognition
