The engineering challenges in quantum computing

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The engineering challenges in quantum computing

Conference Paper (2017)

Author(s)

Carmina García Almudever (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Lingling Lao (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Xiang Fu (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Nader Khammassi (TU Delft - FTQC/Bertels Lab)

Imran Ashraf (TU Delft - FTQC/Bertels Lab)

Dan Iorga (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Savvas Varsamopoulos (TU Delft - FTQC/Bertels Lab)

C. Eichler (ETH Zürich)

Andreas Wallraff (ETH Zürich)

L. Geck (Forschungszentrum Jülich)

A. Kruth (Forschungszentrum Jülich)

J. Knoch (RWTH Aachen University)

H. Bluhm (Forschungszentrum Jülich, RWTH Aachen University)

Koen Bertels (TU Delft - FTQC/Bertels Lab, TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group

Computer Engineering

DOI related publication

https://doi.org/10.23919/DATE.2017.7927104 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:e14cf913-0014-4ce6-8943-cc2b885fef8d

More Info

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Publication Year

2017

Language

English

Research Group

Computer Engineering

Pages (from-to)

836-845

ISBN (print)

978-1-5090-5826-6

ISBN (electronic)

978-3-9815370-8-6

Event

Design, Automation and Test in Europe (2017-03-27 - 2017-03-31), SwissTech Convention Centre, Lausanne, Switzerland

Downloads counter

289

Abstract

Quantum computers may revolutionize the field of computation by solving some complex problems that are intractable even for the most powerful current supercomputers. This paper first introduces the basic concepts of quantum computing and describes what the required layers are for building a quantum system. Thereafter, it discusses the different engineering challenges when building a quantum computer ranging from the core qubit technology, the control electronics, to the microarchitecture for the execution of quantum circuits and efficient quantum error correction. We conclude by discussing some compiler and programming issues relative to quantum algorithms.