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Fidelity benchmarks for two-qubit gates in silicon

Open access
Huang, W., Yang, C. H., Chan, K. W., Tanttu, T., Hensen, B., Leon, R. C. C., Fogarty, M. A., Hwang, J. C. C., Hudson, F. E., Itoh, K. M., Morello, A., Laucht, A., Dzurak, A. S.·2019·Nature

Abstract

Universal quantum computation will require qubit technology based on a scalable platform1, together with quantum error correction protocols that place strict limits on the maximum infidelities for one- and two-qubit gate operations2,3. Although various qubit systems have shown high fidelities at the one-qubit level4–10, the only solid-state qubits manufactured using standard lithographic techniques that have demonstrated two-qubit fidelities near the fault-tolerance threshold6 have been in superconductor systems. Silicon-based quantum dot qubits are also amenable to large-scale fabrication and can achieve high single-qubit gate fidelities (exceeding 99.9 per cent) using isotopically enriched silicon11,12. Two-qubit gates have now been demonstrated in a number of systems13–15, but as yet an accurate assessment of their fidelities using Clifford-based randomized benchmarking, which uses sequences of randomly chosen gates to measure the error, has not been achieved. Here, for qubits encoded on the electron spin states of gate-defined quantum dots, we demonstrate Bell state tomography with fidelities ranging from 80 to 89 per cent, and two-qubit randomized benchmarking with an average Clifford gate fidelity of 94.7 per cent and an average controlled-rotation fidelity of 98 per cent. These fidelities are found to be limited by the relatively long gate times used here compared with the decoherence times of the qubits. Silicon qubit designs employing fast gate operations with high Rabi frequencies16,17, together with advanced pulsing techniques18, should therefore enable much higher fidelities in the near future. Two-qubit logic gates in a silicon-based system are shown (using randomized benchmarking) to have high gate fidelities of operation and are used to generate Bell states, a step towards solid-state quantum computation.

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Show all 7 references

Research works printed but not linked: 32

  1. Rong, X. et al. Experimental fault-tolerant universal quantum gates with solid-state spins under ambient conditions. Nat. Commun. 6, 8748 (2015). · DOI · Paper page
  2. Muhonen, J. T. et al. Quantifying the quantum gate fidelity of single-atom spin qubits in silicon by randomized benchmarking. J. Phys. Condens. Matter 27, 154205 (2015). · DOI
  3. Veldhorst, M. et al. An addressable quantum dot qubit with fault-tolerant control-fidelity. Nature Nanotechnol. 9, 981–985 (2014). · DOI · Paper page
  4. Nichol, J. M. et al. High-fidelity entangling gate for double-quantum-dot spin qubits. npj Quant. Inform. 3, 3 (2017). · DOI · Paper page
  5. Itoh, K. M. & Watanabe, H. Isotope engineering of silicon and diamond for quantum computing and sensing applications. MRS Commun. 4, 143–157 (2014). · DOI · Paper page
  6. Ladd, T. D. & Carroll, M. S. Silicon qubits. In Encyclopedia of Modern Optics 2nd edn, 467–477 (Elsevier, 2018). · DOI
  7. Veldhorst, M. et al. A two-qubit logic gate in silicon. Nature 526, 410–414 (2015). · DOI · Paper page
  8. Watson, T. F. et al. A programmable two-qubit quantum processor in silicon. Nature 555, 633–637 (2018). · DOI · Paper page
  9. Zajac, D. M. et al. Resonantly driven cnot gate for electron spins. Science 359, 439–442 (2018). · DOI · Paper page
  10. Kawakami, E. et al. Electrical control of a long-lived spin qubit in a Si/SiGe quantum dot. Nat. Nanotechnol. 9, 666–670 (2014). · DOI · Paper page
  11. Yoneda, J. et al. A quantum-dot spin qubit with coherence limited by charge noise and fidelity higher than 99.9%. Nat. Nanotechnol. 13, 102106 (2018). · DOI · Paper page
  12. Elzerman, J. M. et al. Single-shot read-out of an individual electron spin in a quantum dot. Nature 430, 431 (2004). · DOI · Paper page
  13. Petta, J. R. et al. Coherent manipulation of coupled electron spins in semiconductor quantum dots. Science 309, 2180–2184 (2005). · DOI · Paper page
  14. Koppens, F. H. L. et al. Driven coherent oscillations of a single electron spin in a quantum dot. Nature 442, 766–771 (2006). · DOI · Paper page
  15. Pioro-Ladrière, M. et al. Electrically driven single-electron spin resonance in a slanting Zeeman field. Nat. Phys. 4, 776779 (2008). · DOI · Paper page
  16. Golovach, V. N., Borhani, M. & Loss, D. Electric-dipole-induced spin resonance in quantum dots. Phys. Rev. B 74, 165319 (2006). · DOI · Paper page
  17. Maurand, R. et al. A CMOS silicon spin qubit. Nat. Commun. 7, 13575 (2016). · DOI · Paper page
  18. Huang, W., Veldhorst, M., Zimmerman, N. M., Dzurak, A. S. & Culcer, D. Electrically driven spin qubit based on valley mixing. Phys. Rev. B 95, 075403 (2017). · doi:10.1103/physrevb.95.075403
  19. Corna, A. et al. Electrically driven electron spin resonance mediated by spin-valley-orbit coupling in a silicon quantum dot. npj Quant. Inform. 4, 6 (2018). · DOI
  20. Nowack, K. C., Koppens, F. H. L., Nazarov, Y. V. & Vandersypen, L. M. K. Coherent control of a single electron spin with electric fields. Science 318, 1430–1433 (2007). · DOI · Paper page
  21. Yang, C. H. et al. Silicon qubit fidelities approaching incoherent noise limits via pulse engineering. Nat. Electron. 2, 151–158 (2019). · DOI · Paper page
  22. Nowack, K. C. et al. Single-shot correlations and two- qubit gate of solid-state spins. Science 333, 1269–1272 (2011). · DOI · Paper page
  23. Kalra, R., Laucht, A., Hill, C. D. & Morello, A. Robust two-qubit gates for donors in silicon controlled by hyperfine interactions. Phys. Rev. X 4, 021044 (2014).
  24. Ryan, C., Laforest, M. & Laflamme, R. Randomized benchmarking of single- and multi-qubit control in liquid-state NMR quantum information processing. New J. Phys. 11, 013034 (2009). · DOI
  25. Laucht, A. et al. A dressed spin qubit in silicon. Nat. Nanotechnol. 12, 6166 (2017). · DOI
  26. Yang, C. H. et al. Spin-valley lifetimes in a silicon quantum dot with tunable valley splitting. Nat. Commun. 4, 2069 (2013). · DOI · Paper page
  27. Dehollain, J. P. et al. Nanoscale broadband transmission lines for spin qubit control. Nanotechnology 24, 015202 (2013). · DOI
  28. Yang, C. H., Lim, W. H., Zwanenburg, F. A. & Dzurak, A. S. Dynamically controlled charge sensing of a few electron silicon quantum dot. AIP Adv. 1, 042111 (2011). · doi:10.1063/1.3654496
  29. McKay, D. C., Wood, C. J., Sheldon, S., Chow, J. M. & Gambetta, J. M. Efficient z gates for quantum computing. Phys. Rev. A 96, 022330 (2017). · DOI · Paper page
  30. Sergeevich, A., Chandran, A., Combes, J., Bartlett, S. D. & Wiseman, H. M. Characterization of a qubit Hamiltonian using adaptive measurements in a fixed basis. Phys. Rev. A 84, 052315 (2011). · DOI
  31. Shulman, M. D. et al. Suppressing qubit dephasing using real-time hamiltonian estimation. Nat. Commun. 5, 5156 (2014). · DOI · Paper page
  32. Delbecq, M. R. et al. Quantum dephasing in a gated gaas triple quantum dot due to nonergodic noise. Phys. Rev. Lett. 116, 046802 (2016). · DOI

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Metadata

Authors
Huang, W., Yang, C. H., Chan, K. W., Tanttu, T., Hensen, B., Leon, R. C. C., Fogarty, M. A., Hwang, J. C. C., Hudson, F. E., Itoh, K. M., Morello, A., Laucht, A., & Dzurak, A. S.
Venue
Nature
Published
2019-05
Volume
569
Issue
7757
Pages
532-536
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2799493790
Cited by
370
References
7
FWCI
25.45
Type
journal article
Language
en
Open access
green
Licence

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Huang, W., Yang, C. H., Chan, K. W., Tanttu, T., Hensen, B., Leon, R. C. C., Fogarty, M. A., Hwang, J. C. C., Hudson, F. E., Itoh, K. M., Morello, A., Laucht, A., & Dzurak, A. S. (2019). Fidelity benchmarks for two-qubit gates in silicon. Nature. https://doi.org/10.1038/s41586-019-1197-0

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