Correcting biased noise using Gottesman-Kitaev-Preskill repetition code with noisy ancilla
Zhifei Li, Daiqin Su

TL;DR
This paper investigates the effectiveness of GKP repetition codes with noisy ancilla in correcting biased quantum noise, identifying critical noise thresholds and emphasizing the importance of initial GKP error correction for fault-tolerant quantum computation.
Contribution
It introduces a detailed analysis of GKP repetition codes with noisy ancilla, highlighting the existence of a critical noise variance and the necessity of pre-correction for practical fault-tolerance.
Findings
Existence of a critical noise variance for ancilla GKP qubits.
Logical error rate decreases with larger code size below the critical noise threshold.
One round of GKP error correction is essential before concatenation.
Abstract
Concatenation of a bosonic code with a qubit code is one of the promising ways to achieve fault-tolerant quantum computation. As one of the most important bosonic codes, Gottesman-Kitaev-Preskill (GKP) code is proposed to correct small displacement error in phase space. If the noise in phase space is biased, square-lattice GKP code can be concatenated with XZZX surface code or repetition code that promises a high fault-tolerant threshold to suppress the logical error. In this work, we study the performance of GKP repetition codes with physical ancillary GKP qubits in correcting biased noise. We find that there exists a critical value of noise variance for the ancillary GKP qubit such that the logical Pauli error rate decreases when increasing the code size. Furthermore, one round of GKP error correction has to be performed before concatenating with repetition code. Our study paves the…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum and electron transport phenomena
