Fidelity benchmarks for two-qubit gates in silicon.


Journal

Nature
ISSN: 1476-4687
Titre abrégé: Nature
Pays: England
ID NLM: 0410462

Informations de publication

Date de publication:
05 2019
Historique:
received: 24 08 2018
accepted: 28 02 2019
pubmed: 16 5 2019
medline: 16 5 2019
entrez: 16 5 2019
Statut: ppublish

Résumé

Universal quantum computation will require qubit technology based on a scalable platform

Identifiants

pubmed: 31086337
doi: 10.1038/s41586-019-1197-0
pii: 10.1038/s41586-019-1197-0
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

532-536

Références

Loss, D. & DiVincenzo, D. P. Quantum computation with quantum dots. Phys. Rev. A 57, 120–126 (1998).
doi: 10.1103/PhysRevA.57.120
Knill, E. & Laflamme, R. Theory of quantum error-correcting codes. Phys. Rev. A 55, 900 (1997).
doi: 10.1103/PhysRevA.55.900
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).
doi: 10.1103/PhysRevA.86.032324
Kok, P. et al. Linear optical quantum computing with photonic qubits. Rev. Mod. Phys. 79, 135 (2007).
doi: 10.1103/RevModPhys.79.135
Haffner, H., Roos, C. & Blatt, R. Quantum computing with trapped ions. Phys. Rep. 469, 155–203 (2008).
doi: 10.1016/j.physrep.2008.09.003
Barends, R. et al. Superconducting quantum circuits at the surface code threshold for fault tolerance. Nature 508, 500–503 (2014).
doi: 10.1038/nature13171
Rong, X. et al. Experimental fault-tolerant universal quantum gates with solid-state spins under ambient conditions. Nat. Commun. 6, 8748 (2015).
doi: 10.1038/ncomms9748
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: 10.1088/0953-8984/27/15/154205
Veldhorst, M. et al. An addressable quantum dot qubit with fault-tolerant control-fidelity. Nature Nanotechnol. 9, 981–985 (2014).
doi: 10.1038/nnano.2014.216
Nichol, J. M. et al. High-fidelity entangling gate for double-quantum-dot spin qubits. npj Quant. Inform. 3, 3 (2017).
doi: 10.1038/s41534-016-0003-1
Itoh, K. M. & Watanabe, H. Isotope engineering of silicon and diamond for quantum computing and sensing applications. MRS Commun. 4, 143–157 (2014).
doi: 10.1557/mrc.2014.32
Ladd, T. D. & Carroll, M. S. Silicon qubits. In Encyclopedia of Modern Optics 2nd edn, 467–477 (Elsevier, 2018).
Veldhorst, M. et al. A two-qubit logic gate in silicon. Nature 526, 410–414 (2015).
doi: 10.1038/nature15263
Watson, T. F. et al. A programmable two-qubit quantum processor in silicon. Nature 555, 633–637 (2018).
doi: 10.1038/nature25766
Zajac, D. M. et al. Resonantly driven cnot gate for electron spins. Science 359, 439–442 (2018).
doi: 10.1126/science.aao5965
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: 10.1038/nnano.2014.153
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: 10.1038/s41565-017-0014-x
Vandersypen, L. M. K. & Chuang, I. L. NMR techniques for quantum control and computation. Rev. Mod. Phys. 76, 1037–1069 (2005).
doi: 10.1103/RevModPhys.76.1037
Elzerman, J. M. et al. Single-shot read-out of an individual electron spin in a quantum dot. Nature 430, 431 (2004).
doi: 10.1038/nature02693
Petta, J. R. et al. Coherent manipulation of coupled electron spins in semiconductor quantum dots. Science 309, 2180–2184 (2005).
doi: 10.1126/science.1116955
Koppens, F. H. L. et al. Driven coherent oscillations of a single electron spin in a quantum dot. Nature 442, 766–771 (2006).
doi: 10.1038/nature05065
Pioro-Ladrière, M. et al. Electrically driven single-electron spin resonance in a slanting Zeeman field. Nat. Phys. 4, 776779 (2008).
doi: 10.1038/nphys1053
Golovach, V. N., Borhani, M. & Loss, D. Electric-dipole-induced spin resonance in quantum dots. Phys. Rev. B 74, 165319 (2006).
doi: 10.1103/PhysRevB.74.165319
Maurand, R. et al. A CMOS silicon spin qubit. Nat. Commun. 7, 13575 (2016).
doi: 10.1038/ncomms13575
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
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: 10.1038/s41534-018-0059-1
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: 10.1126/science.1148092
Yang, C. H. et al. Silicon qubit fidelities approaching incoherent noise limits via pulse engineering. Nat. Electron. 2, 151–158 (2019).
doi: 10.1038/s41928-019-0234-1
Nowack, K. C. et al. Single-shot correlations and two- qubit gate of solid-state spins. Science 333, 1269–1272 (2011).
doi: 10.1126/science.1209524
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).
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: 10.1088/1367-2630/11/1/013034
Laucht, A. et al. A dressed spin qubit in silicon. Nat. Nanotechnol. 12, 6166 (2017).
doi: 10.1038/nnano.2016.178
Yang, C. H. et al. Spin-valley lifetimes in a silicon quantum dot with tunable valley splitting. Nat. Commun. 4, 2069 (2013).
doi: 10.1038/ncomms3069
Dehollain, J. P. et al. Nanoscale broadband transmission lines for spin qubit control. Nanotechnology 24, 015202 (2013).
doi: 10.1088/0957-4484/24/1/015202
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
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: 10.1103/PhysRevA.96.022330
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: 10.1103/PhysRevA.84.052315
Shulman, M. D. et al. Suppressing qubit dephasing using real-time hamiltonian estimation. Nat. Commun. 5, 5156 (2014).
doi: 10.1038/ncomms6156
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: 10.1103/PhysRevLett.116.046802

Auteurs

W Huang (W)

Center for Quantum Computation and Communication Technology, School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, New South Wales, Australia. wister.huang@unsw.edu.au.

C H Yang (CH)

Center for Quantum Computation and Communication Technology, School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, New South Wales, Australia.

K W Chan (KW)

Center for Quantum Computation and Communication Technology, School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, New South Wales, Australia.

T Tanttu (T)

Center for Quantum Computation and Communication Technology, School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, New South Wales, Australia.

B Hensen (B)

Center for Quantum Computation and Communication Technology, School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, New South Wales, Australia.

R C C Leon (RCC)

Center for Quantum Computation and Communication Technology, School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, New South Wales, Australia.

M A Fogarty (MA)

Center for Quantum Computation and Communication Technology, School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, New South Wales, Australia.
London Center for Nanotechnology, University College London, London, UK.

J C C Hwang (JCC)

Center for Quantum Computation and Communication Technology, School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, New South Wales, Australia.

F E Hudson (FE)

Center for Quantum Computation and Communication Technology, School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, New South Wales, Australia.

K M Itoh (KM)

School of Fundamental Science and Technology, Keio University, Yokohama, Japan.

A Morello (A)

Center for Quantum Computation and Communication Technology, School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, New South Wales, Australia.

A Laucht (A)

Center for Quantum Computation and Communication Technology, School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, New South Wales, Australia.

A S Dzurak (AS)

Center for Quantum Computation and Communication Technology, School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, New South Wales, Australia. a.dzurak@unsw.edu.au.

Classifications MeSH