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pith:2024:2JSEHUDKSJXOVR7IMMEDQFT2S2
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Demonstration of logical qubits and repeated error correction with better-than-physical error rates

(2) Quantinuum), A. Chernoguzov (2), A. Paetznick (1), A. Paz (1), A. Sundaram (1), B. Neyenhuis (2), C. Foltz (2), C. Holliman (2), C. Ryan-Anderson (2), C. V. Horst (2), D. Gresh (2), D. Hayes (2), D. Lucchetti (2), D. Tom (1), F. Frachon (1), J. Johansen (2), J. M. Bello-Rivas (1), J. M. Dreiling (2), J. P. Campora III (2), J. P. Gaebler (2), J. Pino (2), K. M. Svore (1) ((1) Microsoft Azure Quantum, L. Grans-Samuelsson (1), M. Mills (2), M. P. da Silva (1), M. Zanner (1), N. Hewitt (2), P. Siegfried (2), R. P. Stutz (2), S. A. Moses (2), S. J. Wernli (1), T. M. Gatterman (2), Y. Matsuoka (2)

Trapped-ion processor shows logical error rates below physical levels via fault-tolerant encoding.

arxiv:2404.02280 v3 · 2024-04-02 · quant-ph

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Claims

C1strongest claim

We present experiments on a trapped-ion QCCD processor where, through the use of fault-tolerant encoding and error correction, we are able to suppress logical error rates to levels below the physical error rates.

C2weakest assumption

The comparison between logical and physical error rates assumes that post-selection and circuit implementations do not introduce unaccounted biases or that the physical error baselines accurately represent the relevant operations without systematic offsets.

C3one line summary

Logical error rates in [[7,1,3]] and [[12,2,4]] codes are suppressed 9.8-800 times below physical rates on trapped-ion hardware, with repeated correction cycles approaching the error rate of two physical CNOTs.

References

81 extracted · 81 resolved · 13 Pith anchors

[1] Circuits The circuit components used to generate a high-fidelity Bell state were previously demonstrated in Refs. 12 and
[2] The logical program to prepare a logical Bell resource state using the Steane code is in Fig. 1. The preparation includes encoding circuits to initialize two logical qubits to |0⟩, transversal single
[3] 2 (see Appendix B for details of the statistical analysis and Appendix D for additional data)
[4] gain” to be the error rate of the physical circuits divided by the error rate of the corresponding logical circuit, while “corrections
[5] gain” to be the error rate of the unencoded circuits divided by the error rate of the encoded circuit in question, while “corrections

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Cited by

42 papers in Pith

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First computed 2026-05-17T23:38:46.279138Z
Builder pith-number-builder-2026-05-17-v1
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Schema pith-number/v1.0

Canonical hash

d26443d06a926eeac7e8630838167a9694426b33c5ff581737a97338ec8a8d56

Aliases

arxiv: 2404.02280 · arxiv_version: 2404.02280v3 · doi: 10.48550/arxiv.2404.02280 · pith_short_12: 2JSEHUDKSJXO · pith_short_16: 2JSEHUDKSJXOVR7I · pith_short_8: 2JSEHUDK
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/2JSEHUDKSJXOVR7IMMEDQFT2S2 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
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Canonical record JSON
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    "primary_cat": "quant-ph",
    "submitted_at": "2024-04-02T20:14:13Z",
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