High-threshold fault-tolerant quantum computation with the Gottesman-Kitaev-Preskill qubit under noise in an optical setup
Kosuke Fukui

TL;DR
This paper proposes an improved scheme for fault-tolerant quantum computation using GKP qubits in an optical setup, enhancing noise tolerance and reducing the required squeezing level for large-scale cluster state construction.
Contribution
It introduces a method to build large-scale cluster states with higher noise tolerance using small-scale clusters, maximum-likelihood, and probabilistic measurements.
Findings
Threshold squeezing levels around 8.1, 9.6, and 12.4 dB for different loss rates.
Enhanced noise tolerance in GKP-based FTQC schemes.
Feasible squeezing levels for practical implementation.
Abstract
To implement fault-tolerant quantum computation (FTQC) with continuous variables, continuous variables need to be digitized using an appropriate code such as the Gottesman--Kitaev--Preskill (GKP) qubit. The scheme introduced in [K. Fukui et. al., Phys. Rev. X 8, 021054 (2018)] has reduced the threshold of a squeezing level required for continuous-variable FTQC to less than 10 dB, assuming noise derived from the GKP qubit itself. In this work, we propose a scheme to improve noise tolerance during the construction of large-scale cluster state used for FTQC with the GKP qubits. In our scheme, a small-scale cluster state is prepared by employing a maximum-likelihood method, the entanglement generation via the Bell measurement, and a probabilistic reliable measurement. Then, a large-scale cluster state is construct from the small-scale cluster states via the encoded Bell measurement. In the…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Neural Networks and Reservoir Computing
