QAR-Lab-EN

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Quantum Summit 2023 in September

Quantum summit 2023 in september

Jonas Stein, Research Associate of the QAR Lab at LMU Munich will provide valuable insights into the current QC research projects - especially on the highlights from the Quantum Computing Optimization Challenge.

(Jun. 13, 2023/Munich) Quantum computing isn’t just a future trend anymore – it’s here to stay and promising to solve both local and global problems in various fields that are beyond the reach of today’s computers. In September 20th-21st, the Quantum Summit will take place in Berlin, Germany. It will bring together a wide range of experts from the research community, as well as decision-makers from business and government, to share important insights in the field of quantum computing. Jonas Stein, Research Associate of the QAR Lab at LMU Munich will provide valuable insights into the current QC research projects – especially on the highlights from the Quantum Computing Optimization Challenge.

The Quantum Computing Optimization Challenge is a practical course initiated by Prof. Dr. Claudia Linnhoff-Popien, head of the Chair of Mobile and Distributed Systems at LMU Munich. It took place for the first time in 2020 and has been an integral part of the curriculum ever since. This practical course teaches the ability to model optimization problems for quantum computers, as well as an introduction to practical work with existing quantum computers. Four computers are currently available for this purpose in the QAR Lab: IBM Q System One, Rigetti Aspen-11, Fujitsu DAU, D-Wave Advantage. In cooperation with well-known partners from industry, tasks with strong relevance for practical applications are assigned each semester. The students have the opportunity to execute and compare one task on two computers. In the summer semester 2023, it takes place for the 5th timeIn the QC Optimization Challenge, use cases in areas of optimization, machine learning and simulation are on the agenda.
You can look forward to an exciting presentation in September at the Quantum Summit.

For more information about the Quatum Summit, click here.

 


Kick-off project launch QCHALLenge

Kick-off project launch QCHALLenge

LMU Munich's QAR-Lab is leading the QCHALLenge quantum computing project funded by Bundesministerium für Wirtschaft und Klimaschutz - the companies AQARIOS, BASF SE, BMW AG, SAP SE and Siemens AG will be partners.

(Dec. 01, 2022/Munich, Germany) On December 1st, all project partners met for the first time to advance the common vision to achieve a quantum advantage in the field of production and logistics. With the project QCHALLenge optimization problems especially in these areas should be solved using existing quantum computing (QC) hardware. For this purpose, algorithms, concepts and tools are being developed that will enable the industry to use QC in a multi-sector and low-threshold implementation. The focus will be on the automated integration of QC into existing solutions, the development of generic quantum SDKs and the expansion of know-how in the application and development of QC solutions.

Project partners and their roles:

The project partners are represented by technology experts, software manufacturers and the user industry, in order to optimally combine their know-how from as many different perspectives as possible. In this context, LMU Munich as consortium leader takes the lead of QCHALLenge and contributes its many years of experience in the field of QC software through the Quantum Applications and Research Laboratory (QAR-Lab). Since 2016, the QAR-Lab has already been doing research in the field of quantum computing and working on numerous QC industry and funding projects. Among other things, this has resulted in the middleware UQO for the hardware agnostic use of QC. AQARIOS, founded in 2021 as a spin-off of LMU Munich, especially focuses as a software and technology partner  on the development and implementation of QC solutions. The companies BASF, BMW, SAP and Siemens represent the user perspective in the consortium. They are advancing QC in their business areas and have already been able to build up their know-how through numerous projects in the field of QC. Since QCHALLenge is specifically focused on the domains of production and logistics, this results, besides other topics, in use cases for the optimization of supply chains and warehouses as well as the application of QC in automation.

Goals of QCHALLenge:

QCHALLenge focuses on the integration of QC into existing software workflows. In particular, the project targets the optimization of methods in machine learning and simulation. In doing so, the consortium aims to achieve the following goals at the end of QCHALLenge:

  • the development of generic programming tools and environments,
  • the creation of user-friendly, engineering applications such as optimizations for specific use cases,
  • the development of software solutions for the integration of conventional computers and QC systems (hybrid quantum software),
  • the configuration of strategies and methods for the structured analysis of user-side problems regarding the target-oriented application and development of QC solutions.
Realization and outlook:

To bring QCHALLenge to success, the focus is on four main strategic cornerstones: In the first step, the goal is to identify suitable use cases and to work out a requirements analysis. The focus here is on which use cases are relevant in practice and also bring a possible quantum advantage. Particularly, the comparison to classical baselines will be considered and a prediction about the probability of a quantum advantage will be made. In the second step, general architectures are developed and finalized for integrating various software tools into existing software solutions. The focus here is on the interface definition for existing software solutions. In the third step, the first prototype software tools and hybrid use-case algorithms will be used. In the end, these prototypes can be further developed into a technically mature software tool. The software tools and algorithms are to be developed in such a way that they can be used operationally after the project period and made accessible to medium-sized companies primarily.

Quantum computing is the next technology that promises the potential for disruptive innovation. It offers breakthrough possibilities for solving problems that are unsolvable in practice on classical computers. It is hard to predict the opportunities that quantum computing, and quantum technology as a whole, will provide for humanity in the future. There are numerous fields of application in which it could be used. QCHALLenge starts an exciting project in the field of quantum computing, which all project partners are highly looking forward to. We can’t wait to see where this journey will take us.


5th QC Practical Course Kickoff with BASF, BMW and Siemens

5th QC Practical Course Kick-off with BASF, BMW and Siemens

Kick-off event with BASF, BMW and Siemens: 16 LMU students implement use cases on four quantum computers: IBM Q System Two, Rigetti Aspen-M-2, Fujitsu DAU and the D-Wave Advantage in the QC Optimization Challenge Practical Course.

The practical course will provide the ability to model optimization problems for quantum computers, as well as an introduction to practical work with existing quantum computers. Four computers are currently available in the QAR Lab for this purpose: IBM Q System Two, Rigetti Aspen-M-2, Fujitsu DAU, D-Wave Advantage.
In cooperation with our industry partners BASF, BMW Group and Siemens projects with high relevance for concrete applications are calculated by our students on quantum computers in this semester. With the three use cases (1) Financial Forecasting (BASF), (2) Drive Train Optimization (BMW) and (3) Train Routing (Siemens), the students will explore the main applications of quantum computing: machine learning, simulation and optimization.

We are pleased to make this possible for the 5th time and are looking forward to the results at the end of this semester.

More Information

September 13-14, 2023: DIGICON 2023 – The digital city of the future

Digitale Welt Convention – DIGICON 2023

The digital city of the future
New opportunities for your business model

“The digital city of the future – New opportunities for your business model” – This is the title of this year’s DIGICON, which will take place on September 13 and 14, 2023 at the Gaszählerwerkstadt in Munich.

In the future, cities will be even more digital and connected. But will such cities of the future become increasingly efficient and sustainable thanks to modern technologies and innovations, or are they also hiding unknown challenges? This year’s DIGICON 2023 will address the numerous new opportunities for business models – from the development of smart city solutions and opportunities for autonomous services, to the networking of devices, sensors and data and development of environmentally friendly ideas for harmony between the city and nature. The digital city of the future brings numerous opportunities for companies to invest in new digital approaches at an early stage and benefit from new impulses.

DIGICON is the annual event of Digitale Stadt München e.V. and a major conference on digitalization topics in the Munich Metropolitan Region. Since 2016, it has brought together renowned experts and top decision-makers from industry, politics and research in Munich to exchange views on digital opportunities for the future. In recent years, the focus has been on topics including quantum computing, artificial intelligence, machine learning, autonomous driving and digital skills. DIGICON is designed to give companies the opportunity to exchange ideas on digitization topics and learn from each other.

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Prof. Dr. Linnhoff-Popien wins award “Best Bachelor Lecture” for “Computer Architecture”, which also introduces quantum computing

Prof. Linnhoff-Popien wins award "Best Bachelor Lecture" for
"Computer Architecture", which also introduces quantum computing

Once a year, the LMU mathematics, physics and computer science department evaluates among the students which lecturers and which tutors have shown outstanding commitment to teaching. The “Golden Sommerfeld” for the physics department has already been awarded since 2017. In 2022, the “Golden Carathéodory for the Department of Mathematics and the “Teaching Award of Computer Science” are being introduced. The aim is to honor outstanding courses and tutorials and to indicate them as a good example.

On Thursday, January 12th, 2023, Prof. Dr. Linnhoff-Popien was awarded the “Teaching Prize of Computer Science 2022” for the “Best Bachelor Lecture”. Nearly 10,000 students of the group Active Student Bodies Physics, Mathematics and Computer Science from the last winter semester 2021/2022 and summer semester 2022 voted and agreed: Prof. Dr. Linnhoff-Popien’s lecture “Computer Architecture” was particularly outstanding.

What characterizes a good course? Prof. Dr. Linnhoff-Popien was asked directly about her teaching in the summer semester 2022 and she reports as follows:
“It was April 2022, a tumultuous time regarding Corona, and there we were expecting 700 to 800 students from 16 different study paths, who enrolled in the computer architecture course. The booked lecture hall had 600 seats. At that time, I had met both students who craved face-to-face lectures and students who had family members who belonged to risk groups and were strongly advised to avoid close contact. For these scenarios, we created a flexible lecture concept accordingly, and the following three aspects were important to me:

WHAT – According to the curriculum, only classical computers and computing methods are taught in computer architecture. In addition to the classical approaches, I included an introduction to quantum computing (QC) as an optional compulsory module. Those who wanted to learn QC could do an exercise on it in the exam. Those who had no interest in QC alternatively programmed assembler as an exam task. Remarkable 96% of the students studied QC additively to the classical material.

HOW? – I put great importance on keeping the lecture clearly structured and easy to understand. Afterwards, each student had the opportunity to intensify the lecture content in tutorials, in which exemplary exercises were calculated. Then they could prove their knowledge by calculating and presenting weekly exercise sheets in order to receive bonus points. Our team of 11 tutorials corrected an average of 1,800 exercises per week. Hundreds of exams were corrected within 48 hours after they were written. My big thanks go to the incredible team of three teaching assistants and practice guides who were very engaged in providing individual attention to each student and answering each question that comes up one at a time.”

The award certificate recognizes the lecture as follows:
“Best Bachelor Lecture – Computer Architecture (Summer Semester 2022) – Prof. Linnhoff-Popien – In the evaluation, the best Bachelor lecture was characterized by its passionate and sympathetic communication of complex topics. The lecture was praised as well structured and well arranged. Some students described the lecture as the best of their lives.

Link:
https://gaf.fs.lmu.de/lehrpreise/lehrpreisinfo

The joy of the award winners last Thursday was very great and the mood exuberant. We can be curious which lectures will be nominated next year by the body of a department of mathematics, physics and computer science of the LMU.


November 16, 2022: DIGICON 2022 – Artificial intelligence in business and society: How do we achieve fairness, trust & data excellence?

Digitale Welt Convention – DIGICON 2022

“Artificial intelligence in business and society:
How do we achieve fairness, trust & data excellence?”

DIGICON took place for the 7th time on November 16. This year, the big digitization event focused on the topic “Artificial intelligence in business and society: How do we achieve fairness, trust & data excellence?”

DIGICON is the annual event of Digitale Stadt München e.V. and an important conference on digitization topics in the Munich metropolitan region. For seven years, it has brought together more renowned experts and top decision-makers from industry, politics and research to exchange views on digital opportunities for the future. In recent years, the focus has been on topics including quantum computing, machine learning, autonomous driving and digital skills. DIGICON is designed to give companies the opportunity to exchange ideas on digitalization topics and learn from each other.

This year, DIGICON once again took place onsite and live in Munich. Many  decision-makers and experts from the digitization industry exchanged ideas about fairness, trust and data excellence of artificial intelligence and showes practical examples. The event took place until late at night with a networking evening in the historic Villa Flora in Munich.

More than 20 speaker plus many award participants presented use cases, latest research results or newest products and insights on AI. The networking slots provided a great opportunity to stick heads together and exchange new ideas or meet new people.


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Status meeting on Quantum Computing

Status meeting on Quantum Computing

QuCUN plans networking event with BMBF projects in September

On September 20th and 21st, 2022, the leaders of quantum computing in Germany will meet in Munich for a network meeting initiated by QuCUN with other projects which are funded by the Federal Ministry of Education and Research (BMBF).

The group of participants will be project partners from the two funding measures “Application Network for Quantum Computing” and “Quantum Informatics: Algorithms, Software, Applications“.

Both days will be filled with presentations on quantum computing from the different projects. In addition, there will be a networking evening on the first day of the event to give the invited project partners and representatives of the project sponsor VDI the opportunity for personal networking.

For more information on QuCUN, please visit www.qucun.de.

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How Germany wants to catch up in quantum technology

How Germany wants to catch up in quantum technology


(July 24, 2022/Munich) “When the quantum advantage is achieved, the technology will disruptively change the market“, commented Claudia Linnhoff-Popien, head of QAR-Lab at LMU Munich. Completely new approaches would be possible in material research, logistics, medical technology and the training of neural networks.

As a consequence, „the German economy has to prepare for the age of quantum computing”, says Claudia Linnhoff-Popien.
For this purpose the project QuCUN was founded: Ludwig-Maximilians-Universität München, in collaboration with its spin-off Aqarios and with BASF and SAP, is developing a platform that will become a central hub for companies working on quantum computers.

Read more about quantum technology in Germany in the Handelsblatt article:
www.handelsblatt.com/quantentechnologie

For more information on the QuCUN project, please visit: www.qucun.de


Quantum Computing in Bavaria – Ways from research to application

Quantum Computing in Bavaria
Ways from research to application

What are the advantages of quantum computing? Where are we today and what opportunities and challenges does this create? In which sectors can this pioneering technology open up new perspectives?
The white paper “Quantum Computing in Bavaria – Ways from Research to Application”, published by Bayern Innovativ and the QAR-Lab, aims to raise awareness of the range of possible applications of quantum computing and to inform potential quantum users what opportunities the field of quantum technology opens up for them.

The advantages of quantum computing

Today, quantum computing is still often perceived as a theoretical, purely scientific concept. This is not surprising, because already the technical background of quantum technology is difficult to imagine for most people: Unlike in the digital world, where there are only the two states “0” and “1” for the classical bits, in quantum computing the two states can also overlap – Quantum effects such as superposition and entanglement allow quantum bits (qubits) to process a significantly higher amount of different solutions in a much shorter time. Specific results on “quantum supremacy” over conventional supercomputers were provided by researchers at Google, among others, with the development of the quantum processor “Sycamore” (53 qubits). According to the developer, this will be able to perform calculations that would take a conventional supercomputer approximately 10,000 years to complete in 200 seconds.
But according to a potential analysis by management and technology consultants Sopra Steria, only 34 percent of the 158 surveyed managers and specialists from companies currently see quantum technologies as very or quite relevant for their own industry; for their own company or administration, the figure is only 28 percent. However, 64 percent of the respondents expect that quantum technologies will gain “noticeable influence” on their company or administration by 2030. After all, 59 percent of the surveyed decision-makers from the banking sector see “potential fields of application in controlling and in optimizing financial flows.” In industrial companies, 26 percent can imagine “improvements in logistics processes”. Today, comprehensive quantum strategies still exist in only a few companies – in many cases, the necessary background knowledge and an awareness of the revolutionary potential of quantum technologies are still missing.

You can download the full whitepaper for free below:

Whitepaper-Quantencomputing-Wege-von-der-Foschung-in-die-Anwendung


Future potentials of quantum computing for industry and economy – What will quantum computing make possible and when?

Future potentials of quantum computing for industry and economy
What will quantum computing make possible and when?

Another day full of appointments. And of course you want to be on time. But rush hour traffic, as always, lets start the morning with a stress test of the nerves. According to the “stop and go” principle, you torture yourself with your vehicle from traffic light to traffic light. Passing road works, lane narrowing and overloaded crossings. You wonder if traffic flow through the city couldn’t be managed more smartly – but you also recognize that traffic planning professionals face an almost superhuman challenge to the complexity of urban road networks. Is there a solution anyway? Yes, in the near future. Quantum computing makes it possible …

Today, quantum computing (QC) is the topic of conversation wherever high-performance computers are involved – especially since the Bavarian Minister President Markus Söder described the technology as a “warp drive for the research of the future” [1] and the Bavarian State Government provided a total funding program of 300 million euros for QuantumTech Vision Bayern in its Hightech Agenda Plus [2]. But even today, many people still have very diffuse ideas about how quantum computers work and its potential applications – and that includes business and industry, even though the new technology could revolutionize our world in the midterm in much the same way as Konrad Zuse’s “Z1” and today’s omnipresent personal computer.

QAR-Lab: Systematic buildup of quantum expertise from the research to the user level

Our goal as QAR-Lab is to research the potential of quantum computing, to test the existing hardware and to bring quantum computing into application. Business and industry should have the most easy possible access to the new technology.
The QAR-Lab was founded in 2016 by Prof. Dr. Claudia Linnhoff-Popien at the Chair of Mobile and Distributed Systems at LMU Munich. “Our goal,” says Prof. Dr. Linnhoff-Popien, “is to conduct basic research on the one side and to make quantum technology usable for practical applications on the other side.”

Our mission at QAR Labs is to:

  • to train the quantum experts of the future in research and education
  • to develop an early quantum advantage in the fields of optimization and artificial intelligence for a wide range of industries with the help of quantum computing
  • to enable an architecture independent programming of quantum computers by a specially developed middleware (UQO platform)
  • to establish a learning platform under the name CAQAO to teach programming expertise for quantum computing
  • build user expertise for quantum computing in order to make the new technology accessible to a wide range of users in industry – for example, through workshops or lectures and the identification of possible use cases

To evaluate different QC systems, we use several quantum computers and have access to computers from IBM, Fujitsu, D-Wave Systems and Rigetti via the cloud. We conduct “Challenges” with practical application scenarios, in which different hardware and programming strategies are tested to solve specific tasks.

QAR-Lab „Quantum Computing Optimization Challenge”

In spring 2021, we organized a QC Programming Challenge in the QAR Lab, in which five use cases of the companies BASF, BMW, SAP, Siemens and Trumpf were calculated on four quantum computers. The goal was to find out which computer delivers the best results for which use case. A second challenge followed in November 2021 with the companies E.ON, Evonik Industries and BAYER.

The following gate-model or annealing-based computers were used:

  • IBM Q System One
  • Rigetti Aspen-9
  • Fujitsu DAU
  • D-Wave Advantage

Before starting the experiment, the participating students from LMU Munich had to familiarize themselves with the operation of the quantum computers in an intensive way. Due to the fact that there was no standardization, this also included familiarization with the various software development kits (SDKs) for the individual computers.

Making quantum computing usable for non-specialists as well

The aim of the challenge was, among other things, to gain insights into performance, noise and user experience when accessing the quantum computers in the context of the various use cases. Prof. Dr. Linnhoff-Popien comments: “There are no other comparable experimental projects in Germany where students can gain such comprehensive experience with programming quantum computers – the QAR-Lab is currently the leader in this field. Our goal is to make quantum computing more accessible and widely commercially usable, even for non-specialists, to give companies and institutions an early quantum advantage.“

The challenge: Raising awareness of the range of possible applications

” So far, quantum computing has been a matter for specialists who intervene very deeply in the systems with hardware-near programming,” says Prof. Dr. Linnhoff-Popien. “We currently are in a similar situation with quantum computing as we were about 50 years ago with the personal computer. And just like the PC, the quantum computer will also be operable for non-specialized users in the near future. Software developers are already looking for ways to make working with a quantum computer more intuitive. The primary task now is to raise awareness of where quantum computing can show its advantages.“

The five QC levels of the QAR Lab: When will companies be able to achieve a quantum advantage?

Our QAR Lab scientists expect that companies will be able to realize their first economic quantum advantages in the next five to ten years. To evaluate where a company already stands, the individual company and its use cases are classified according to the QAR Lab model of five QC levels. In this way, it is possible to gradually identify the need for specific use cases and the expected timeframe for achieving the quantum advantage:

QC-Level 0 (Thinking)
There is an awareness that quantum computing could significantly increase performance and efficiency for certain processes.

QC-Level 1 (Classification)
There is an awareness that economic advantage can be achieved with QC in the areas of optimization, simulation, and artificial intelligence.

QC-Level 2 (Discovery)
The company has already collected a list of potential use cases for QC.

QC-Level 3 (Selection)
According to the QAR Lab’s four categories (severe, important, appropriate, and early use cases), the potential use cases are weighted and a favorite is determined.

QC-Level 4 (Implementation)
The favorite use case is implemented on several different quantum computers. Then, the results are compared with each other in terms of runtime and quality of the solution..

QC-Level 5 (Prediction)
After evaluating the comparison of different QC systems and determining the qubit requirements, our QAR Lab experts predict when the necessary hardware will be available and an early quantum advantage can be achieved.

Who can benefit from quantum computing?

In the future, quantum computing will have an impact on almost all economic and industrial sectors as well as social areas and will make a significant contribution to efficiently solving the most complex processes, such as the urban traffic planning scenario described at the beginning of this article. For many companies and institutions it is already possible today to position themselves for an early quantum advantage – and the QAR Lab is working on this:

  • Identification of applications and use cases
    In which application areas for a specific industry can quantum technology be used to solve complex tasks and achieve real competitive advantages? 
  • Implementation of quantum computing solutions
    Together with the company or institution, we develop solution methods for specific tasks on the basis of quantum technology. In the process, the partners get to know and understand quantum algorithms.
  • Choice of the appropriate quantum hardware
    Not every quantum computer is equally well-suited for a specific task. We keep close partnerships with well-known producers of quantum hardware. On three quantum computers and a quantum-inspired annealer, we test the performance of computer architectures to research the best possible results for specific use cases. 

Specific use cases: In which sectors will quantum computing revolutionize our world in the future?

Quantum computing is of interest for all applications where our current computers are reaching the limits of their capabilities. In research, we are currently focusing on the following topics

  • Optimization
  • Quantum supported artificial intelligence

A typical use case where quantum computing proves to be extremely powerful is in solutions that require an enormous amount of calculations due to the many parameters that need to be considered.

Quantum pilot project at Volkswagen AG
Volkswagen AG, for example, already launched the world’s first quantum pilot project for optimizing traffic flow (Capacitated Vehicle Routing Problem) in Lisbon in 2019: Nine vehicles in the city’s MAN bus fleet were integrated into a QC system based on a quantum computer from D-Wave. The idea was to detect traffic jams and disruptions in time and choose the fastest route to the destination almost in real time [3]. In another project, Volkswagen succeeded in using quantum computing to significantly shorten the travel times of 10,000 cabs in traffic in the Chinese mega-metropolis of Beijing [4]. So quantum computing is an application that promises enormous benefits not only for metropolitan transportation planners, but also for the logistics, transportation, and travel sectors in general.

Quantum computing in the automotive sector at the BMW Group
The BMW Group is also exploring the possibilities of quantum computing in the automotive sector and set up a challenge with four focal points with the involvement of the global quantum computing community in the summer of 2021 [5]:

  • Optimization of sensor positions for automated driving functions
  • Simulation of material deformations in the production process
  • Optimizing the configuration of pre-production vehicles
  • Machine learning for automated quality analysis

Particularly interesting in the environment of industrial production: optimizing the positions and paths of robotic arms along production lines, as well as new possibilities for automated quality control and predictive maintenance.

The other potential applications of quantum computing range from imaging processes in medical technology and the chemical and pharmaceutical industries to data protection solutions and cryptography or systems for high-precision metrological recording of electric, magnetic and gravitational fields, seismic vibrations or changes in velocity. Even stock portfolios can be optimized to maximize profits using quantum computing.

Innovations need partners: Politicians have recognized the future potential of quantum technology

Anyone who wants to advance quantum computing needs strong partners not only in research and industry, but also driving forces in politics.

In January 2021, the Bavarian state government announced the merger of the five major players in the Munich quantum scene to form the Munich Quantum Valley initiative. The Bavarian Academy of Sciences and Humanities, the Fraunhofer-Gesellschaft, the Max Planck Society, the Ludwig Maximilian University of Munich and the Technical University of Munich are members of the association. The purpose is to expand Bavaria’s leading position in the field of quantum technology research, not only in relation to the other German states, but also in relation to international high-tech nations such as the USA and China.

In a five-point future plan [6], the Bavarian state government also aims to give additional impulse to quantum technology by promoting start-ups and cross-industry innovations.

The QuantumTech Vision Bavaria, whose framework was defined by Bavaria’s Digital Minister Judith Gerlach, Economics Minister Hubert Aiwanger, and representatives of universities, research institutions, and industry, plays an essential role in this context: The intention is to implement the extensive findings from Bavarian basic research into quantum technology directly into industrial value creation. 

The QAR Lab and Bayern Innovativ: Efficiently implementing technological change with quantum computing

As LMU’s QAR Lab, we focus on basic research, user expertise education, and on identifying concrete use cases together with partners from industry and business. Our partner Bayern Innovativ also wants to implement quantum computing as a future technology with concrete applications as quickly as possible. Dr. Andreas Böhm, Technology Project Manager and Head of Quantum Technology at Bayern Innovativ, commented: „We have seen in digitalization that many companies put off important innovations and transformation steps until an emergency situation such as the Corona pandemic forces them to act. We should avoid this mistake with quantum technology and take action in time. Because other states are at a similar stage of research as we are in Bavaria, but are already taking a much more application-oriented approach to this subject.“

Start with quantum computing

Read more about our cooperations with industry and about possible application possibilities in the field of quantum computing.

[1] https://www.stmwk.bayern.de/allgemein/meldung/6629/quantum-integration-centre-in-garching-soll-bayern-als-fuehrenden-standort-beim-quantencomputing-etablieren.html
[2] https://www.munich-startup.de/78011/quantentech-vision-bayern-vorgestellt/
[3] https://www.volkswagenag.com/de/news/2019/10/volkswagen-optimizes-traffic-flow-with-quantum-computers.html
[4] https://www.volkswagen-newsroom.com/de/pressemitteilungen/forschungsprojekt-erfolgreich-volkswagen-it-experten-nutzen-quantencomputer-fuer-verkehrsfluss-optimierung-1303
[5]https://www.press.bmwgroup.com/deutschland/article/detail/T0337884DE/quantencomputing:-bmw-group-startet-crowd-innovation-initiative-quantum-computing-challenge-in-zusammenarbeit-mit-aws?language=de
[6] https://www.bayern.de/bericht-aus-der-kabinettssitzung-vom-14-september-2020/


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