Towards scalable quantum computing based on silicon spin

T. Meunier; L. Hutin; B. Bertrand; Y. Thonnart; G. Pillonnet; G. Billiot; H. Jacquinot; M. Casse; S. Barraud; Y.-J. Kim; V. Mazzocchi; A. Amisse; Heorhii Bohuslavskyi; L. Bourdet; A. Crippa; X. Jehl; R. Maurand; Y.-M. Niquet; M. Sanquer; B. Venitucci; B. Jadot; E. Chanrion; P.-A. Mortemousque; C. Spence; M. Urdampilleta; S. De Franceschi; M. Vinet

doi:10.23919/vlsit.2019.8776562

Towards scalable quantum computing based on silicon spin

T. Meunier^*
, L. Hutin
, B. Bertrand
, Y. Thonnart
, G. Pillonnet
, G. Billiot
, H. Jacquinot
, M. Casse
, S. Barraud
, Y.-J. Kim
, V. Mazzocchi
, A. Amisse
, Heorhii Bohuslavskyi
, L. Bourdet
, A. Crippa
, X. Jehl
, R. Maurand
, Y.-M. Niquet
, M. Sanquer
, B. Venitucci

B. Jadot, E. Chanrion, P.-A. Mortemousque, C. Spence, M. Urdampilleta, S. De Franceschi, M. Vinet

^*Corresponding author for this work

Not published at VTT

French National Center for Scientific Research (CNRS)
Institute for Nanoscience and Cryogenics (INAC)
Laboratoire d'électronique des technologies de l'information (LETI)

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

6 Citations (Scopus)

Abstract

Quantum computing (QC) is expected to extend the high performance computing roadmap [1]-[2] at the condition to be able to run a large number of errorless quantum operations, typically. over a billion. It is out of reach in actual physical systems because of the quantum decoherence. As a consequence, quantum error correction techniques, which utilize the idea of redundant encoding, have been introduced to cure for the errors [3]-[5]. In state-of-the-art codes, with error thresholds or fidelities around 10 -2 in Si spin qubits, it is expected that logical qubits will be made out of a few thousands or more of physical qubits [6], bringing the number of required physical qubits to perform relevant quantum calculations to at least a million.

Original language	English
Title of host publication	2019 Symposium on VLSI Technology
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	T30-T31
ISBN (Electronic)	978-4-86348-719-2
DOIs	https://doi.org/10.23919/vlsit.2019.8776562
Publication status	Published - Jun 2019
MoE publication type	A4 Article in a conference publication

Funding

The authors gratefully acknowledge financial support from the EU under Project MOS-QUITO (No. 688539) and the Marie Curie Fellowship within the Horizon 2020 program and from French Agence Nationale de la Recherche through the projects ANR-15-IDEX-02 and the ANR-16-ACHN-0029.

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10.23919/vlsit.2019.8776562

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Meunier, T., Hutin, L., Bertrand, B., Thonnart, Y., Pillonnet, G., Billiot, G., Jacquinot, H., Casse, M., Barraud, S., Kim, Y.-J., Mazzocchi, V., Amisse, A., Bohuslavskyi, H., Bourdet, L., Crippa, A., Jehl, X., Maurand, R., Niquet, Y.-M., Sanquer, M., ... Vinet, M. (2019). Towards scalable quantum computing based on silicon spin. In 2019 Symposium on VLSI Technology (pp. T30-T31). Article 8776562 IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.23919/vlsit.2019.8776562

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title = "Towards scalable quantum computing based on silicon spin",

abstract = "Quantum computing (QC) is expected to extend the high performance computing roadmap [1]-[2] at the condition to be able to run a large number of errorless quantum operations, typically. over a billion. It is out of reach in actual physical systems because of the quantum decoherence. As a consequence, quantum error correction techniques, which utilize the idea of redundant encoding, have been introduced to cure for the errors [3]-[5]. In state-of-the-art codes, with error thresholds or fidelities around 10 -2 in Si spin qubits, it is expected that logical qubits will be made out of a few thousands or more of physical qubits [6], bringing the number of required physical qubits to perform relevant quantum calculations to at least a million.",

author = "T. Meunier and L. Hutin and B. Bertrand and Y. Thonnart and G. Pillonnet and G. Billiot and H. Jacquinot and M. Casse and S. Barraud and Y.-J. Kim and V. Mazzocchi and A. Amisse and Heorhii Bohuslavskyi and L. Bourdet and A. Crippa and X. Jehl and R. Maurand and Y.-M. Niquet and M. Sanquer and B. Venitucci and B. Jadot and E. Chanrion and P.-A. Mortemousque and C. Spence and M. Urdampilleta and Franceschi, \{S. De\} and M. Vinet",

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Meunier, T, Hutin, L, Bertrand, B, Thonnart, Y, Pillonnet, G, Billiot, G, Jacquinot, H, Casse, M, Barraud, S, Kim, Y-J, Mazzocchi, V, Amisse, A, Bohuslavskyi, H, Bourdet, L, Crippa, A, Jehl, X, Maurand, R, Niquet, Y-M, Sanquer, M, Venitucci, B, Jadot, B, Chanrion, E, Mortemousque, P-A, Spence, C, Urdampilleta, M, Franceschi, SD & Vinet, M 2019, Towards scalable quantum computing based on silicon spin. in 2019 Symposium on VLSI Technology., 8776562, IEEE Institute of Electrical and Electronic Engineers, pp. T30-T31. https://doi.org/10.23919/vlsit.2019.8776562

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T1 - Towards scalable quantum computing based on silicon spin

AU - Meunier, T.

AU - Hutin, L.

AU - Bertrand, B.

AU - Thonnart, Y.

AU - Pillonnet, G.

AU - Billiot, G.

AU - Jacquinot, H.

AU - Casse, M.

AU - Barraud, S.

AU - Kim, Y.-J.

AU - Mazzocchi, V.

AU - Amisse, A.

AU - Bohuslavskyi, Heorhii

AU - Bourdet, L.

AU - Crippa, A.

AU - Jehl, X.

AU - Maurand, R.

AU - Niquet, Y.-M.

AU - Sanquer, M.

AU - Venitucci, B.

AU - Jadot, B.

AU - Chanrion, E.

AU - Mortemousque, P.-A.

AU - Spence, C.

AU - Urdampilleta, M.

AU - Franceschi, S. De

AU - Vinet, M.

PY - 2019/6

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AB - Quantum computing (QC) is expected to extend the high performance computing roadmap [1]-[2] at the condition to be able to run a large number of errorless quantum operations, typically. over a billion. It is out of reach in actual physical systems because of the quantum decoherence. As a consequence, quantum error correction techniques, which utilize the idea of redundant encoding, have been introduced to cure for the errors [3]-[5]. In state-of-the-art codes, with error thresholds or fidelities around 10 -2 in Si spin qubits, it is expected that logical qubits will be made out of a few thousands or more of physical qubits [6], bringing the number of required physical qubits to perform relevant quantum calculations to at least a million.

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M3 - Conference article in proceedings

SP - T30-T31

BT - 2019 Symposium on VLSI Technology

PB - IEEE Institute of Electrical and Electronic Engineers

ER -

Towards scalable quantum computing based on silicon spin

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