Fraunhofer FOKUS | Quality Engineering for Quantum Computing

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Quantum computing marks an important paradigm shift. Adobe Stock/ noah9000

Free Webinar: Quality Engineering for Quantum Computing – Basics

What are quantum computers and how can they be used?

Quantum Computing is poised to becoming one of the most important technologies of the coming decade, yet not many people currently understand what it will do, or how it will impact our understanding of computation. In this course, we will introduce Quantum Computation and provide insights that will help you to understand where and when quantum computers might be used in your business.

This introductory course is aimed at a wide audience and provides an applied science perspective on Quantum Computing and Quality Engineering for Quantum Computing. Whether SMEs, industry, research or administration, acting managers, developers, researchers, project managers or executives interested in this technology, this course provides an insight into the technical features, potential applications as well as future prospects. The training courses take place as face-to-face events, as online courses on the Fraunhofer FOKUS learning platform, or in a combined format.

Quantum Computing technology has advanced greatly in recent years. In the past 3 decades alone, new technologies have brought about a huge leap in Quantum Computation, from running the first ever quantum algorithm back in 1992 using Nuclear Magnetic Resonance(NMR), to running Quantum Neural Networks nowadays on a 64-Qbit Quantum Processing Unit(QPU) via Cloud. The technological advancement has accelerated greatly, more significantly over the past 2 years marked by the first announcement of a potential Quantum Supremacy. Moreover, Quantum Hardware developers have revealed their roadmap to reach a 1000 Qbit machine hinting that at an exponential rate, a million Qbit machine might be expected.

The emerging technology of Quantum Computation is bringing together computer scientists, physicists, chemists, statisticians and a broad range of engineers from the STEM (Science, Technology, Engineering and Mathematics) fields in a great effort to reach production level performance. Additionally, the high impact potential of this technology may bring revolutionary advancements over the whole spectrum of human activity.

Quantum Computation is close to becoming a feasible solution for high complexity problems that are currently too hard or rather impossible to address using classical computation. It represents an important change of paradigm, promising exponentially increasing computational capacity. In this course, the basic concepts of Quantum Computation will be introduced at a conceptual level. Additionally, theoretical aspects relating to quality engineering for Quantum Computing will allow acquiring initial knowledge towards developing quantum algorithms and circuits.

Course Objectives

Upon completion of this course, participants will have built an understanding regarding the following aspects:

Basic and intermediary terminology surrounding Quantum Computing
How Quantum Mechanics and Quantum Computing are related?
Why classical computers are not suitable for some types of problems?
Why quantum computers will not replace classical computers and what will they be used for?
The current state of QC technology, and projections for when Quantum Computers will become viable for practical purposes
Insights on the design processes for qualitative Quantum Computing based systems

Target Audience

Business leaders who want to learn how, where and when quantum computers might be used in their business or IT professionals looking for a basic introduction to Quantum Computing.

Course Data

Event Format	Online
Dates	To be announced
Language	English (slides in English)
Duration	3 hours
Prerequisites	There are no prerequisites to this course. You don’t need to bring a specific device to the course.
Course Fee	Free

Registration

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We will store the personal data collected in context with the event until the end of the regular limitation period of three (3) years following the end of the year of the event. We will then delete the data unless we are obligated by law to store the data for a longer period according to compulsory safekeeping and documentation obligations pursuant to Article 6 para. 1, page 1 lit. c GDPR and in particular according to § 147 AO [General German Fiscal Code]) or unless you have agreed to a longer data storage according to Article 6 para. 1, page 1 lit. a GDPR. In case of longer data storage, we shall process the data solely to the extent mandated by law or according to your permission. As for all else, the further processing of the data shall be barred.

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FRAUNHOFER INSTITUTE FOR OPEN COMMUNICATION SYSTEMS

Quality Engineering for Quantum Computing – Basics