Abstract
Quantum computers hold the promise of solving computational problems that are intractable using conventional methods1. For fault-tolerant operation, quantum computers must correct errors occurring owing to unavoidable decoherence and limited control accuracy2. Here we demonstrate quantum error correction using the surface code, which is known for its exceptionally high tolerance to errors3,4,5,6. Using 17 physical qubits in a superconducting circuit, we encode quantum information in a distance-three logical qubit, building on recent distance-two error-detection experiments7,8,9. In an error-correction cycle taking only 1.1 μs, we demonstrate the preservation of four cardinal states of the logical qubit. Repeatedly executing the cycle, we measure and decode both bit-flip and phase-flip error syndromes using a minimum-weight perfect-matching algorithm in an error-model-free approach and apply corrections in post-processing. We find a low logical error probability of 3% per cycle when rejecting experimental runs in which leakage is detected. The measured characteristics of our device agree well with a numerical model. Our demonstration of repeated, fast and high-performance quantum error-correction cycles, together with recent advances in ion traps10, support our understanding that fault-tolerant quantum computation will be practically realizable.
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References
Preskill, J. Quantum computing in the NISQ era and beyond. Quantum 2, 79 (2018).
Shor, P. W. Fault-tolerant quantum computation. In Proc. 37th Conference on Foundations of Computer Science 56 pp (IEEE, 1996).
Kitaev, A. Y. Fault-tolerant quantum computation by anyons. Ann. Phys. 303, 2–30 (2003).
Dennis, E., Kitaev, A., Landahl, A. & Preskill, J. Topological quantum memory. J. Math. Phys. 43, 4452–4505 (2002).
Raussendorf, R. & Harrington, J. Fault-tolerant quantum computation with high threshold in two dimensions. Phys. Rev. Lett. 98, 190504 (2007).
Bombin, H. & Martin-Delgado, M. A. Quantum measurements and gates by code deformation. J. Phys. A Math. Theor. 42, 095302 (2009).
Andersen, C. K. et al. Repeated quantum error detection in a surface code. Nat. Phys. 16, 875–880 (2020).
Marques, J. F. et al. Logical-qubit operations in an error-detecting surface code. Nat. Phys. 18, 80–86 (2022).
Chen, Z. et al. Exponential suppression of bit or phase errors with cyclic error correction. Nature 595, 383–387 (2021).
Ryan-Anderson, C. et al. Realization of real-time fault-tolerant quantum error correction. Phys. Rev. X 11, 041058 (2021).
Bravyi, S. B. & Kitaev, A. Y. Quantum codes on a lattice with boundary. Preprint at https://arxiv.org/abs/quant-ph/9811052 (1998).
Wang, C., Harrington, J. & Preskill, J. Confinement-Higgs transition in a disordered gauge theory and the accuracy threshold for quantum memory. Ann. Phys. 303, 31–58 (2003).
Gottesman, D. Stabilizer Codes and Quantum Error Correction. PhD thesis, California Institute of Technology (1997).
Terhal, B. M. Quantum error correction for quantum memories. Rev. Mod. Phys. 87, 307 (2015).
Moussa, O., Baugh, J., Ryan, C. A. & Laflamme, R. Demonstration of sufficient control for two rounds of quantum error correction in a solid state ensemble quantum information processor. Phys. Rev. Lett. 107, 160501 (2011).
Schindler, P. et al. Experimental repetitive quantum error correction. Science 332, 1059–1061 (2011).
Waldherr, G. et al. Quantum error correction in a solid-state hybrid spin register. Nature 506, 204–207 (2014).
Kelly, J. et al. State preservation by repetitive error detection in a superconducting quantum circuit. Nature 519, 66–69 (2015).
Knill, E., Laflamme, R., Martinez, R. & Negrevergne, C. Benchmarking quantum computers: the five-qubit error correcting code. Phys. Rev. Lett. 86, 5811 (2001).
Abobeih, M. H. et al. Fault-tolerant operation of a logical qubit in a diamond quantum processor. Preprint at https://arxiv.org/abs/2108.01646 (2021).
Egan, L. et al. Fault-tolerant control of an error-corrected qubit. Nature 598, 281–286 (2021).
Hilder, J. et al. Fault-tolerant parity readout on a shuttling-based trapped-ion quantum computer. Phys. Rev. X 12, 011032 (2022).
Horsman, C., Fowler, A. G., Devitt, S. & Meter, R. V. Surface code quantum computing by lattice surgery. New J. Phys. 14, 123011 (2012).
Ofek, N. et al. Extending the lifetime of a quantum bit with error correction in superconducting circuits. Nature 536, 441–445 (2016).
Hu, L. et al. Quantum error correction and universal gate set operation on a binomial bosonic logical qubit. Nat. Phys. 15, 503–508 (2019).
Flühmann, C. et al. Encoding a qubit in a trapped-ion mechanical oscillator. Nature 566, 513–517 (2019).
Campagne-Ibarcq, P. et al. Quantum error correction of a qubit encoded in grid states of an oscillator. Nature 584, 368–372 (2020).
Bombin, H. & Martin-Delgado, M. A. Optimal resources for topological two-dimensional stabilizer codes: comparative study. Phys. Rev. A 76, 012305 (2007).
Tomita, Y. & Svore, K. M. Low-distance surface codes under realistic quantum noise. Phys. Rev. A 90, 062320 (2014).
Koch, J. et al. Charge-insensitive qubit design derived from the Cooper pair box. Phys. Rev. A 76, 042319 (2007).
Strauch, F. W. et al. Quantum logic gates for coupled superconducting phase qubits. Phys. Rev. Lett. 91, 167005 (2003).
DiCarlo, L. et al. Preparation and measurement of three-qubit entanglement in a superconducting circuit. Nature 467, 574–578 (2010).
Negirneac, V. et al. High-fidelity controlled-Z gate with maximal intermediate leakage operating at the speed limit in a superconducting quantum processor. Phys. Rev. Lett. 126, 220502 (2021).
Krinner, S. et al. Benchmarking coherent errors in controlled-phase gates due to spectator qubits. Phys. Rev. Appl. 14, 024042 (2020).
Negnevitsky, V. et al. Repeated multi-qubit readout and feedback with a mixed-species trapped-ion register. Nature 563, 527–531 (2018).
Andersen, C. K. et al. Entanglement stabilization using ancilla-based parity detection and real-time feedback in superconducting circuits. npj Quantum Inf. 5, 69 (2019).
Bultink, C. C. et al. Protecting quantum entanglement from leakage and qubit errors via repetitive parity measurements. Sci. Adv. 6, eaay3050 (2020).
Aliferis, P. & Terhal, B. M. Fault-tolerant quantum computation for local leakage faults. Quantum Inf. Comput. 7, 139–156 (2007).
Fowler, A. G. Coping with qubit leakage in topological codes. Phys. Rev. A 88, 042308 (2013).
Ghosh, J. & Fowler, A. G. Leakage-resilient approach to fault-tolerant quantum computing with superconducting elements. Phys. Rev. A 91, 020302 (2015).
Suchara, M., Cross, A. W. & Gambetta, J. M. Leakage suppression in the toric code. Quantum Inf. Comput. 15, 997–1016 (2015).
Varbanov, B. M. et al. Leakage detection for a transmon-based surface code. npj Quantum Inf. 6, 102 (2020).
Versluis, R. et al. Scalable quantum circuit and control for a superconducting surface code. Phys. Rev. Appl. 8, 034021 (2017).
Fowler, A. G., Mariantoni, M., Martinis, J. M. & Cleland, A. N. Surface codes: towards practical large-scale quantum computation. Phys. Rev. A 86, 032324 (2012).
von Burg, V. et al. Quantum computing enhanced computational catalysis. Phys. Rev. Res. 3, 033055 (2021).
Babbush, R. et al. Focus beyond quadratic speedups for error-corrected quantum advantage. PRX Quantum 2, 010103 (2021).
Nigg, D. et al. Quantum computations on a topologically encoded qubit. Science 345, 302–305 (2014).
Trout, C. J. et al. Simulating the performance of a distance-3 surface code in a linear ion trap. New J. Phys. 20, 043038 (2018).
Landahl, A. J. & Ryan-Anderson, C. Quantum computing by color-code lattice surgery. Preprint at https://arxiv.org/abs/1407.5103 (2014).
Gutiérrez, M., Müller, M. & Bermúdez, A. Transversality and lattice surgery: exploring realistic routes toward coupled logical qubits with trapped-ion quantum processors. Phys. Rev. A 99, 022330 (2019).
Stephens, A. M. Fault-tolerant thresholds for quantum error correction with the surface code. Phys. Rev. A 89, 022321 (2014).
McEwen, M. et al. Removing leakage-induced correlated errors in superconducting quantum error correction. Nat. Commun. 12, 1761 (2021).
Strand, J. D. et al. First-order sideband transitions with flux-driven asymmetric transmon qubits. Phys. Rev. B 87, 220505 (2013).
Hutchings, M. D. et al. Tunable superconducting qubits with flux-independent coherence. Phys. Rev. Appl. 8, 044003 (2017).
Walter, T. et al. Rapid high-fidelity single-shot dispersive readout of superconducting qubits. Phys. Rev. Appl. 7, 054020 (2017).
Heinsoo, J. et al. Rapid high-fidelity multiplexed readout of superconducting qubits. Phys. Rev. Appl. 10, 034040 (2018).
Sank, D. et al. Measurement-induced state transitions in a superconducting qubit: beyond the rotating wave approximation. Phys. Rev. Lett. 117, 190503 (2016).
Wallraff, A. et al. Approaching unit visibility for control of a superconducting qubit with dispersive readout. Phys. Rev. Lett. 95, 060501 (2005).
O’Brien, T. E., Tarasinski, B. & DiCarlo, L. Density-matrix simulation of small surface codes under current and projected experimental noise. npj Quantum Inf. 3, 39 (2017).
Edmonds, J. Paths, trees, and flowers. Can. J. Math. 17, 449–467 (1965).
Spitz, S. T., Tarasinski, B., Beenakker, C. W. J. & O’Brien, T. E. Adaptive weight estimator for quantum error correction in a time-dependent environment. Adv. Quantum Technol. 1, 1800012 (2018).
Acknowledgements
We are grateful for valuable discussions with Q. Ficheux and C. Lledó. We acknowledge the contributions of R. Boell to the experimental setup and M. Kerschbaum for early work on the two-qubit gate implementation. The team in Zurich acknowledges financial support by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), through the U.S. Army Research Office grant W911NF-16-1-0071, by the EU Flagship on Quantum Technology H2020-FETFLAG-2018-03 project 820363 OpenSuperQ, by the National Center of Competence in Research ‘Quantum Science and Technology’ (NCCR QSIT), a research instrument of the Swiss National Science Foundation (SNSF, grant number 51NF40-185902), by the SNSF R’Equip grant 206021-170731, by the EU programme H2020-FETOPEN project 828826 Quromorphic and by ETH Zurich. S.K. acknowledges financial support from Fondation Jean-Jacques et Félicia Lopez-Loreta and the ETH Zurich Foundation. The work in Sherbrooke was undertaken thanks in part to funding from NSERC, Canada First Research Excellence Fund, ARO grant W911NF-18-1-0411, the Ministère de l’Économie et de l’Innovation du Québec and U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Quantum Systems Accelerator. M.M. acknowledges support by the U.S. Army Research Office grant W911NF-16-1-0070. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the ODNI, IARPA or the U.S. Government.
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Contributions
S.K., N.L. and A.R. planned the experiments, S.K. and N.L. performed the main experiment and S.K. and N.L. analysed the data. F.S., A.R. and C.K.A. designed the device and S.K., A.R. and G.J.N. fabricated the device. N.L., C.H. and S.L. developed the experimental software framework and A.R., C.H., N.L., S.K. and S.L. developed the control and calibration software routines. A.R., J.H., S.K. and C.H. designed and built elements of the room-temperature setup and S.K., A.R., C.H., S.L., N.L. and F.S. maintained the experimental setup. S.K., N.L., A.R., C.H., S.L. and C.K.A. characterized and calibrated the device and the experimental setup. E.G., A.D.P. and C.L. performed the numerical simulations. M.M. provided guidance on logical qubit evaluation methodology aspects. S.K., N.L., A.R., C.H. and S.L. prepared the figures for the manuscript and S.K., N.L., A.R., C.E. and A.W. wrote the manuscript, with inputs from all co-authors. A.B., C.E. and A.W. supervised the work.
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Krinner, S., Lacroix, N., Remm, A. et al. Realizing repeated quantum error correction in a distance-three surface code. Nature 605, 669–674 (2022). https://doi.org/10.1038/s41586-022-04566-8
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DOI: https://doi.org/10.1038/s41586-022-04566-8
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