Abstract
Quantum computers hold the potential to surpass classical computers in solving complex computational problems. The fragility of quantum information and the error-prone nature of quantum operations necessitate the use of quantum error correction codes to achieve fault-tolerant quantum computing. However, most codes that have been demonstrated so far suffer from low encoding efficiency, and their scalability is hindered by prohibitively high resource overheads. Here we use a 32-qubit quantum processor to demonstrate two low-overhead quantum low-density parity-check codes, a distance-4 bivariate bicycle code and a distance-3 punctured bivariate bicycle code. Utilizing a two-dimensional architecture with overlapping long-range couplers connecting the qubits, we demonstrate the simultaneous measurements of all non-local weight-6 stabilizers via the periodic execution of an efficient syndrome extraction circuit. We achieve a logical error rate per logical qubit per cycle of (8.91 ± 0.17)% for the bivariate bicycle code with four logical qubits and (7.77 ± 0.12)% for the punctured bivariate bicycle code with six logical qubits. Our results establish the feasibility of performing quantum error correction with long-range coupled superconducting processors, demonstrating the viability of low-overhead quantum error correction.
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Data availability
The data presented in the figures and that support the other findings of this study are publicly available via Zenodo at https://doi.org/10.5281/zenodo.17706106 (ref. 53). Source data are provided with this paper.
Code availability
The data analysis and numerical simulation codes for this study are publicly available via Zenodo at https://doi.org/10.5281/zenodo.17706106 (ref. 53).
References
Nielsen, M. A., Chuang, I. L. Quantum Computation and Quantum Information (Cambridge Univ. Press, 2010).
Shor, P. W. Scheme for reducing decoherence in quantum computer memory. Phys. Rev. A 52, R2493–R2496 (1995).
Farhi, E. et al. A quantum adiabatic evolution algorithm applied to random instances of an NP-complete problem. Science 292, 472–475 (2001).
Kandala, A. et al. Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets. Nature 549, 242–246 (2017).
Herman, D. et al. Quantum computing for finance. Nat. Rev. Phys. 5, 450–465 (2023).
Biamonte, J. et al. Quantum machine learning. Nature 549, 195–202 (2017).
Das Sarma, S., Deng, D.-L. & Duan, L.-M. Machine learning meets quantum physics. Phys. Today 72, 48–54 (2019).
Gottesman, D. E. Stabilizer Codes and Quantum Error Correction. PhD thesis, California Institute of Technology (1997).
Dennis, E., Kitaev, A., Landahl, A. & Preskill, J. Topological quantum memory. J. Math. Phys. 43, 4452–4505 (2002).
Flühmann, C. et al. Encoding a qubit in a trapped-ion mechanical oscillator. Nature 566, 513–517 (2019).
Egan, L. et al. Fault-tolerant control of an error-corrected qubit. Nature 598, 281–286 (2021).
Ryan-Anderson, C. et al. Realization of real-time fault-tolerant quantum error correction. Phys. Rev. X 11, 041058 (2021).
de Neeve, B., Nguyen, T.-L., Behrle, T. & Home, J. P. Error correction of a logical grid state qubit by dissipative pumping. Nat. Phys. 18, 296–300 (2022).
Paetznick, A. et al. Demonstration of logical qubits and repeated error correction with better-than-physical error rates. Preprint at https://arxiv.org/abs/2404.02280 (2024).
Waldherr, G. et al. Quantum error correction in a solid-state hybrid spin register. Nature 506, 204–207 (2014).
Abobeih, M. H. et al. Fault-tolerant operation of a logical qubit in a diamond quantum processor. Nature 606, 884–889 (2022).
Chang, X.-Y. et al. Hybrid entanglement and bit-flip error correction in a scalable quantum network node. Nat. Phys. 22, 583–589 (2025).
Bluvstein, D. et al. Logical quantum processor based on reconfigurable atom arrays. Nature 626, 58–65 (2024).
Reichardt, B. W. et al. Logical computation demonstrated with a neutral atom quantum processor. Preprint at https://arxiv.org/abs/2411.11822 (2024).
Marques, J. F. et al. Logical-qubit operations in an error-detecting surface code. Nat. Phys. 18, 80–86 (2022).
Zhao, Y. et al. Realization of an error-correcting surface code with superconducting qubits. Phys. Rev. Lett. 129, 030501 (2022).
Krinner, S. et al. Realizing repeated quantum error correction in a distance-three surface code. Nature 605, 669–674 (2022).
Google Quantum AI et al. Suppressing quantum errors by scaling a surface code logical qubit. Nature 614, 676–681 (2023).
Ni, Z. et al. Beating the break-even point with a discrete-variable-encoded logical qubit. Nature 616, 56–60 (2023).
Sivak, V. V. et al. Real-time quantum error correction beyond break-even. Nature 616, 50–55 (2023).
Gupta, R. S. et al. Encoding a magic state with beyond break-even fidelity. Nature 625, 259–263 (2024).
Lacroix, N. et al. Scaling and logic in the colour code on a superconducting quantum processor. Nature 645, 614–619 (2025).
Caune, L. et al. Demonstrating real-time and low-latency quantum error correction with superconducting qubits. Preprint at https://arxiv.org/abs/2410.05202 (2024).
Eickbusch, A. et al. Demonstration of dynamic surface codes. Nat. Phys. 21, 1994–2001 (2025).
Google Quantum AI and Collaborators et al. Quantum error correction below the surface code threshold. Nature 638, 920–926 (2025).
Kitaev, A. Y. Fault-tolerant quantum computation by anyons. Ann. Phys. 303, 2–30 (2003).
Bravyi, S. B. & Kitaev, A. Y. Quantum codes on a lattice with boundary. Preprint at https://arxiv.org/abs/quant-ph/9811052 (1998).
Breuckmann, N. P. & Eberhardt, J. N. Quantum low-density parity-check codes. PRX Quantum 2, 040101 (2021).
Bravyi, S. et al. High-threshold and low-overhead fault-tolerant quantum memory. Nature 627, 778–782 (2024).
Tillich, J.-P. & Zémor, G. Quantum LDPC codes with positive rate and minimum distance proportional to the square root of the blocklength. IEEE Trans. Inf. Theory 60, 1193–1202 (2014).
Panteleev, P. & Kalachev, G. Asymptotically good quantum and locally testable classical LDPC codes. In Proc. 54th Annual ACM SIGACT Symposium on Theory of Computing (STOC 2022) 375–388 (ACM, 2022).
Leverrier, A. & Zemor, G. Quantum Tanner codes. In Proc. 63rd Annual IEEE Symposium on Foundations of Computer Science (FOCS 2022) 872–883 (IEEE, 2022).
Kim, Y. et al. Evidence for the utility of quantum computing before fault tolerance. Nature 618, 500–505 (2023).
Jin, F. et al. Topological prethermal strong zero modes on superconducting processors. Nature 645, 626–632 (2025).
Roffe, J., White, D. R., Burton, S. & Campbell, E. Decoding across the quantum low-density parity-check code landscape. Phys. Rev. Res. 2, 043423 (2020).
Panteleev, P. & Kalachev, G. Degenerate quantum LDPC codes with good finite length performance. Quantum 5, 585 (2021).
Chen, Z. et al. Fabrication and characterization of aluminum airbridges for superconducting microwave circuits. Appl. Phys. Lett. 104, 052602 (2014).
Song, C. et al. Generation of multicomponent atomic Schrödinger cat states of up to 20 qubits. Science 365, 574–577 (2019).
Google Quantum AI et al. Exponential suppression of bit or phase errors with cyclic error correction. Nature 595, 383–387 (2021).
Jeffrey, E. et al. Fast accurate state measurement with superconducting qubits. Phys. Rev. Lett. 112, 190504 (2014).
Heinsoo, J. et al. Rapid high-fidelity multiplexed readout of superconducting qubits. Phys. Rev. Appl. 10, 034040 (2018).
Sunada, Y. et al. Fast readout and reset of a superconducting qubit coupled to a resonator with an intrinsic Purcell filter. Phys. Rev. Appl. 17, 044016 (2022).
Spring, P. A. et al. Fast multiplexed superconducting qubit readout with intrinsic Purcell filtering using a multiconductor transmission line. PRX Quantum 6, 020345 (2025).
Sank, D. et al. System characterization of dispersive readout in superconducting qubits. Phys. Rev. Appl. 23, 024055 (2025).
McEwen, M. et al. Removing leakage-induced correlated errors in superconducting quantum error correction. Nat. Commun. 12, 1761 (2021).
Miao, K. C. et al. Overcoming leakage in quantum error correction. Nat. Phys. 19, 1780–1786 (2023).
Bluvstein, D. et al. A fault-tolerant neutral-atom architecture for universal quantum computation. Nature 649, 39–46 (2026).
Wang, K. et al. Demonstration of low-overhead quantum error correction codes. Zenodo https://doi.org/10.5281/zenodo.17706106 (2025).
Acknowledgements
We thank D. Yuan and W. Jiang for helpful discussions. The device was fabricated at the Micro-Nano Fabrication Center of Zhejiang University. We acknowledge support from the Quantum Science and Technology–National Science and Technology Major Project (grant numbers 2021ZD0300200 and 2021ZD0302203), the National Natural Science Foundation of China (grant numbers 92365301, 12174342, 12274367, 12322414, 12274368, 12075128, 12404570, 12404574, T2225008 and T24B2002), the Shanghai Qi Zhi Institute Innovation Program SQZ202318, the National Key R&D Program of China (grant number 2023YFB4502600) and the Zhejiang Provincial Natural Science Foundation of China (grant numbers LDQ23A040001 and LR24A040002). In addition, Z.-Z.S., W.L. and D.-L.D. are supported by Tsinghua University Dushi Program. P.-X.S. acknowledges support from the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie grant agreement number 101180589 (SymPhysAI), the National Science Centre (Poland) OPUS grant number 2021/41/B/ST3/04475 and the ‘MagTop’ project (FENG.02.01-IP.05-0028/23) carried out within the ‘International Research Agendas’ programme of the Foundation for Polish Science co-financed by the European Union under the European Funds for Smart Economy 2021-2027 (FENG). Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.
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K.W. and C.Z. carried out the experiments under the supervision of C.S. and H. Wang. J.C. and Y. Wang designed the device, and J.C. and H.L. fabricated the device under the supervision of H. Wang. Z.W. designed the control and measurement electronics. Z.L. designed the error correction codes and performed the numerical simulations under the supervision of D.-L.D. Z.L., Z.-Z.S., W.L., Q.Y., S.J., Y.M., P.-X.S. and D.-L.D. conducted the theoretical analysis. All authors contributed to the experimental setup, the discussions of the results and the writing of the manuscript.
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Extended data
Extended Data Fig. 1 Quantum circuit used to perform repeated stabilizer measurements for the [[18,6,3]] punctured BB code.
A full syndrome cycle comprises seven layers of CZ gates, interleaved with single-qubit operations, to achieve the simultaneous extraction of all X- and Z-type stabilizers.
Extended Data Fig. 2 Detection probability for stabilizers over seven cycles for the [[18,6,3]] punctured BB code.
Each data point is obtained from over 40,000 experimental instances. The dotted lines indicate the detection probability for each individual stabilizer, and the solid line shows the average detection probability across all stabilizers of the Z-type or X-type.
Extended Data Fig. 3 Accumulated logical error probabilities as functions of the number of cycles for the [[18,6,3]] punctured BB code.
Each data point represents over 40,000 experimental instances after leakage rejection.
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Wang, K., Lu, Z., Zhang, C. et al. Demonstration of low-overhead quantum error correction codes. Nat. Phys. 22, 308–314 (2026). https://doi.org/10.1038/s41567-025-03157-4
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DOI: https://doi.org/10.1038/s41567-025-03157-4


