Memory-assisted decoder for approximate Gottesman-Kitaev-Preskill codes

Abstract

We propose a quantum error correction protocol for continuous-variable finite-energy, approximate Gottesman-Kitaev-Preskill (GKP) states undergoing small Gaussian random displacement errors, based on the scheme of Glancy and Knill [Phys. Rev. A {\bf 73}, 012325 (2006)]. We show that combining multiple rounds of error-syndrome extraction with Bayesian estimation offers enhanced protection of GKP-encoded qubits over comparible single-round approaches. Furthermore, we show that the expected total displacement error incurred in multiple rounds of error followed by syndrome extraction is bounded by $2\sqrt{\pi }$. By recompiling the syndrome-extraction circuits, we show that all squeezing operations can be subsumed into auxiliary state preparation, reducing them to beamsplitter transformations and quadrature measurements.

We want to thank Jacob Hastrup for notifying us of an repeated numerical error. We also want to thank Luca Cocconi for his useful comments on our numerical simulations

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• Quantum information processing with bosonic qubits in circuit QED
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• Building a large-scale quantum computer with continuous-variable optical technologies
• Measurement-free preparation of grid states
• Fast simulation of bosonic qubits via Gaussian functions in phase space
• Quantum error correction with higher Gottesman-Kitaev-Preskill codes: minimal measurements and linear optics
• Spin and polarization effects on the nonlinear Breit-Wheeler pair production in laser-plasma interaction
• Subsystem analysis of continuous-variable resource states
• Quantum error correction with the color-Gottesman-Kitaev-Preskill code
• Non-Markovian feedback for optimized quantum error correction
• On the interpretability of neural network decoders