A 6-Qubit Electron Spin Quantum Computer in the cloud

ORAL

Abstract

Quantum Inspire (www.quantum-inspire.com) is a cloud platform giving access to quantum computers based on superconducting and semiconducting qubits (electrons in SiGe heterostructures) and an emulator. In 2020 it was launched with a 2-qubit Si QPU. We have incorporated a new 6-qubit chip, developed at QuTech, based on isotopically purified 28Si to maximize spin coherence (Philips, S.G.J., Mądzik, M.T., Amitonov, S.V. et al. Universal control of a six-qubit quantum processor in silicon. Nature 609, 919–924 (2022)) in a full stack, cloud accessible quantum computer. Rabi frequencies are on the order of few MHz. Qubit initialization and measurement is done using Pauli spin blockade, combined with active feedback and post-selection. The stack includes a full control system, automated tuning and calibration to provide continuous availability, compilers, and account and data management facilities. It can be used in tandem with a classical runtime to execute hybrid quantum-classical algorithms and is provided with an software development kit for programming in Python plus a web GUI for users less familiar with quantum programming. We will present the latest results on the functionality and performance of the system, which is freely accessible to everyone. We will also present a preview of our roadmap towards a 200-qubit chip in the European flagship programs.

* This work was supported by the Dutch National Growth Fund (NGF), as part of the Quantum Delta NL programme and by the European Union’s Horizon 2020 research and innovation programme under the Grant Agreement No.951852 (QLSI project).

Presenters

  • Richard Versluis

    TNO, QuTech/TNO

Authors

  • Richard Versluis

    TNO, QuTech/TNO

  • Nodar Samkharadze

    QuTech and TNO Netherlands Organization for Applied Scientific Research, QuTech/TNO

  • Jasper Winters

    Qutech/TNO, QuTech/TNO

  • Yoram Vos

    QuTech and TNO Netherlands Organization for Applied Scientific Research, QuTech/TNO

  • Damien R Crielaard

    QuTech/TNO

  • Pieter T Eendebak

    QuTech/TNO

  • Tumi Makinwa

    TNO, Qutech

  • Önder Gül

    QuTech and TNO Netherlands Organization for Applied Scientific Research, QuTech/TNO

  • Rick N Wasserman

    QuTech and TNO Netherlands Organization for Applied Scientific Research, QuTech/TNO

  • Chris Elenbaas

    Netherlands Organisation for Applied Scientific Research, QuTech/TNO

  • Olaf M Schusler

    Delft University of Technology, QuTech/TUD

  • Amir Sammak

    QuTech, QuTech and TNO Netherlands Organization for Applied Scientific Research, TNO/QuTech, Delft University of Technology, TNO, QuTech/TNO, QuTech and Netherlands Organization for Applied Scientific Research (TNO), The Netherlands, QuTech and Netherlands Organisation for Applied Scientific Research (TNO)

  • Larysa Tryputen

    QuTech and TNO Netherlands Organization for Applied Research, TNO Netherlands Organization for Applied Scientific Research, QuTech and Netherlands Organization for Applied Scientific Research (TNO),

  • Saurabh Karwal

    QuTech and TNO Netherlands Organization for Applied Scientific Research, TNO/QuTech

  • David J Michalak

    QuTech and TNO Netherlands Organization for Applied Scientific Research, Delft, QuTech/TNO

  • Sergey V Amitonov

    QuTech and TNO Netherlands Organization for Applied Scientific Research, QuTech and Netherlands Organization for, QuTech/TNO, QuTech and Netherlands Organization for Applied Scientific Research (TNO), The Netherlands

  • Giordano Scappucci

    TU Delft QuTech, QuTech and Kavli Institute of Nanoscience, Delft University of Technology, TU Delft, QuTech and Kavli Institute of Nanoscience, TU Delft, The Netherlands

  • Peter Verhoeff

    QuTech/TNO

  • Lieven M Vandersypen

    Delft University of Technology