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Single-shot decoding of good quantum LDPC codes
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Quantum Tanner codes constitute a family of quantum low-density parity-check (LDPC) codes with good parameters, i.e., constant encoding rate and relative distance. In this article, we prove that quantum Tanner codes also facilitate single-shot quantum error correction (QEC) of adversarial noise, where one measurement round (consisting of constant-weight parity checks) suffices to perform reliable QEC even in the presence of measurement errors. We establish this result for both the sequential and parallel decoding algorithms introduced by Leverrier and Z\'emor. Furthermore, we show that in order to suppress errors over multiple repeated rounds of QEC, it suffices to run the parallel decoding algorithm for constant time in each round. Combined with good code parameters, the resulting constant-time overhead of QEC and robustness to (possibly time-correlated) adversarial noise make quantum Tanner codes alluring from the perspective of quantum fault-tolerant protocols.
Forward citations
Cited by 3 Pith papers
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Classifying Logical Gates in Quantum Codes via Cohomology Operations and Symmetry
Cohomology operations, including new higher Pontryagin powers, yield constant-depth logical R_k and multi-controlled R_k gates in homological quantum codes on projective spaces, extending the known color-code paradigm.
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Bias-tailored single-shot quantum LDPC codes
A new hierarchy of bias-tailored single-shot quantum LDPC codes is proposed, with simplified and reduced variants and a periodic 3D XZZX code as an explicit example.
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Quantum Information Processing, Sensing and Communications: Their Myths, Realities and Futures
A broad review of quantum error correction, error mitigation, machine learning, radar, and QKD, concluding with a staged roadmap toward a quantum-secured internet.
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