Presentation + Paper
23 March 2020 Quantum Inspire: QuTech’s platform for co-development and collaboration in quantum computing
Author Affiliations +
Abstract
The mission of QuTech is to bring quantum technology to industry and society by translating fundamental scientific research into applied research. To this end we are developing Quantum Inspire (QI), a full-stack quantum computer prototype for future co-development and collaborative R&D in quantum computing. A prerelease of this prototype system is already offering the public cloud-based access to QuTech technologies such as a programmable quantum computer simulator (with up to 31 qubits) and tutorials and user background knowledge on quantum information science (www.quantum-inspire.com). Access to a programmable CMOS-compatible Silicon spin qubit-based quantum processor will be provided in the next deployment phase. The first generation of QI’s quantum processors consists of a double quantum dot hosted in an in-house grown SiGe/28Si/SiGe heterostructure, and defined with a single layer of Al gates. Here we give an overview of important aspects of the QI full-stack. We illustrate QI’s modular system architecture and we will touch on parts of the manufacturing and electrical characterization of its first generation two spin qubit quantum processor unit. We close with a section on QI’s qubit calibration framework. The definition of a single qubit Pauli X gate is chosen as concrete example of the matching of an experiment to a component of the circuit model for quantum computation.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thorsten Last, Nodar Samkharadze, Pieter Eendebak, Richard Versluis, Xiao Xue, Amir Sammak, Delphine Brousse, Kelvin Loh, Henk Polinder, Giordano Scappucci, Menno Veldhorst, Lieven Vandersypen, Klará Maturová, Jeremy Veltin, and Garrelt Alberts "Quantum Inspire: QuTech’s platform for co-development and collaboration in quantum computing", Proc. SPIE 11324, Novel Patterning Technologies for Semiconductors, MEMS/NEMS and MOEMS 2020, 113240J (23 March 2020); https://doi.org/10.1117/12.2551853
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Cited by 5 scholarly publications.
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KEYWORDS
Quantum computing

Quantum dots

Silicon

Prototyping

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