Full-stack quantum computing systems in the NISQ era

Algorithm-driven and hardware-aware compilation techniques

Conference Paper (2022)
Author(s)

Medina Bandic (TU Delft - QCD/Almudever Lab, TU Delft - QCD/Feld Group, TU Delft - QuTech Advanced Research Centre)

Sebastian Feld (TU Delft - QuTech Advanced Research Centre, TU Delft - Electrical Engineering, Mathematics and Computer Science)

Carmen G. Almudever (Universitat Politécnica de Valencia)

Research Group
QCD/Feld Group
DOI related publication
https://doi.org/10.23919/DATE54114.2022.9774643 Final published version
More Info
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Publication Year
2022
Language
English
Research Group
QCD/Feld Group
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Article number
9774643
Publisher
IEEE
ISBN (print)
978-1-6654-9637-7
ISBN (electronic)
978-3-9819263-6-1
Event
2022 Design, Automation &amp; Test in Europe<br/>Conference &amp; Exhibition (DATE 2022) (2022-03-14 - 2022-03-23), Virtual at Antwerp, Belgium
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Abstract

The progress in developing quantum hardware with functional quantum processors integrating tens of noisy qubits, together with the availability of near-term quantum algorithms has led to the release of the first quantum computers. These quantum computing systems already integrate different software and hardware components of the so-called “full-stack”, bridging quantum applications to quantum devices. In this paper, we will provide an overview on current full-stack quantum computing systems. We will emphasize the need for tight co-design among adjacent layers as well as vertical cross-layer design to extract the most from noisy intermediate-scale quantum (NISQ) processors which are both error-prone and severely constrained in resources. As an example of co-design, we will focus on the development of hardware-aware and algorithm-driven compilation techniques.

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