Quantum Applications and Research Laboratory at LMU Munich (QAR-Lab)

Become Quantum Ready!

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Quantum Computing (QC) enables performing complex operations for solving problems, that are infeasible using classical approaches. Moreover, QC allows finding solutions to traditional problems in less time. In our QAR-Lab we research such possibilities for concrete practical problems, from route planning to machine learning, by programming a quantum computer. This is how we prepare our partners and students for a future with Quantum Technology.

Structure

    1. History of Quantum Computing
    2. What is Quantum Computing?
    3. Research Areas
    4. QAR-Lab Structure
    5. Cooperation with the industry
    6. Hardware
    7. Applications and Questions of Research
    8. Funded Projects
    9. Papers
    10. The QAR-Lab Team of Experts
    11. Partners
    12. Further Links
    13. Activities/News

1. History of Quantum Computing

Quantum computing is founded on two scientific revolutions in the first half of the 20th century. First, the new and radical theory of quantum mechanics, which shocked our picture of reality. Today, it is a key pillar of modern physics. Fundamentals were established between 1925 and 1932 by renowned scientists like Werner Heisenberg, Erwin Schrödinger, Max Planck, Nils Bohr, Paus Dirac and many more. In 1933 Schrödinger and Dirac earned the Nobel Price in physics for their contribution „Entdeckung neuer produktiver Formen der Atomtheorie“, which enabled the subsequent development of quantum mechanics. Second, in the 1940s scientists like Konrad Zuse, Alan Turing und John von Neumann built the foundation for the development of programmable computers. Those were the base for most advances of modern information technology from smartphones to mainframe computers.
In the last decades, both sciences were combined to the interdisciplinary field of Quantum Computing.

2. What is Quantum Computing?

The goal of QC is to build new hardware, develop applicable algorithms and research in which form quantum mechanics can be utilized for the transfer and processing of information.

  • What is Quantum Mechanics?
    Quantum Mechanics described the certain special properties of matter at the scale level of atoms. In QC such properties are used to hold Qbits in a so-called superposition, entangle them
    and reach unlikely sets of solutions through „tunneling“.
  • What is the Quantum Circuit Model?
    The Quantum Circuit Model is a calculation model for quantum computers. The calculation happening inside this model is a series of quantum gates operating on a system of qubits.
    Similar to classical computers, logic gates are connected sequentially (to so called Quantum Circuits), to implement certain algorithms and solve problem statements.
  • What is Quantum Annealing?
    Quantum Annealing utilized the latest findings in the field of quantum mechanics to determine the minimum point of energy within a defined system. A slow annealing of the energy in a solution space provides an answer to many optimization problems.
  • What are Quantum Algorihms?
    The term Quantum Algorithm generally encompasses algorithms, that appear inherently quantum, or that use essential properties of Quantum Mechanics, such as superposition oder quantum entanglement, for solving problem statements. In contrast to classical algorithms, these algorithms run on quantum computing Hardware.
  • What is Quantum Software?
    The term Quantum Software comprises the broad spectrum from hardware-related QC -Compilers, -Circuits, -Algorithms to full extent applications.

3. Research Areas

The main research areas of the QAR-Lab are Quantum Optimization and Quantum Artificial Intelligence. There, Quantum Computing is used in the omnipresent fields of Artificial Intelligence an Optimization. To facilitate the best possible transfer of research results into application and academia, we are currently working on a software platform whose core consists of the middleware UQ, enabling for an easy and unified access to Quantum Hardware.

  • Quantum Optimization
    As a result of manifold problem statements from companies of different industrial sectors, we contemplate various practical applications regarding their solvability and realize initial prototypes. This process allows for an identification of requirements on the available QC-technologies and provides insights into the expectations on future developments. This results in a close exchange between research and application. At the same time it serves as a transfer of knowledge to the user companies early on.
  • Quantum Artificial Intelligence
    Approaches of Artificial Intelligence allow for the solution of highly complex problems by simulating intelligent behavior. In the past years, numerous breakthroughs for highly relevant problems were achieved in this area. However, the trend of required computing power for these advances rises exponentially, such that better performing computers are indispensable for pursuing current approaches. In the context of our longtime expertise in the field of Artificial Intelligence we now pursue research in the areas of hybrid optimization, the solution of systems of linear equations and the learning of clusters and Support Vector Machines (SVMs). Additionally, we follow promising research conducted in the fields of Quantum Reinforcement Learning (QRL), Quantum General Adversarial Networks (GANs) and the training of Quantum Boltzmann Machines (QBMs) closely.
  • Quantum Optimization
    To allow for an easy exchange of algorithms, implementations and applications, the QAR-Lab is working on a software platform especially for these uses. To lower the entry barriers to the field of Quantum Computing, educational materials, guidelines, and development tools will be available on this platform. As special feature, the universal access to quantum hardware independent of the respective manufacturers is rendered possible by the middleware UQ, developed by us, the QAR-Lab. To support the choice of the best fitting quantum hardware, intelligent algorithms are provided. For the maximal exploitation of the still very limited quantum hardware, we study in the area of automated, optimal translations of quantum algorithms onto accessible quantum hardware. Obtained findings, like the automated optimization of QUBO-formulations for the Quantum Annealers by D-Wave Systems are made accessible as tools on the software platform.

4. QAR-Lab Structure

Software which is applicable in QC is the QAR-Lab’s field of focus. We use a cloud service to gain access to recent hardware by D-Wave. Problem definitions are translated into special objects, called QUOBs. This is how we conduct research on quantum computers as well as practical application to solve current problems. This combination allows us to precisely analyze the possibilities of Quantum Computing for many areas of interest.

5. Cooperation with the industry

In the following we present attractive opportunities for cooperation projects between the industry and the QAR-Lab:

  • Identification of Use Cases of the user industry
    As a result of manifold problem statements from companies of different industrial sectors, we contemplate various practical applications regarding their solvability and realize initial prototypes. This process allows for an identification of requirements on the available QC-technologies and provides insights into the expectations on future developments. This results in a close exchange between research and application. At the same time it serves as a transfer of knowledge to the user companies early on.
  • Access to quantum computers and „quantum-inspired“ hardware
    It is our goal to allow for smooth access to the global leading quantum computers for industry, research partners, lecturers and students. We cultivate a longtime cooperation with the company D-Wave Systems that is specialized on Quantum Annealers, which are designed to solve (special) optimization problems. Digital Annealers, e.g. offered by Fujitsu, possess a related architecture of Quantum Annealers without exploiting quantum effects. The range of technologies is to be kept open for potential add-ons at all times, particularly granting easy access to developing quantum computers.
  • Quantum-Platforms
    For easy and universal access to hardware resources, we work on shared platforms for quantum computing. Not only being an interface, but also featuring development tools, processes, guidelines and educational materials. A platform for optimization (i.a. via Quantum Annealing) is already being used in teaching and research with our students.
  • Building an assessment competence
    At the moment many QC-solutions und -technologies develop around the world that are difficult to comprehend not only for big corporations but especially for the middle class. Therefore we help evaluating and comparing offerings from manufacturers of the QC user competence cluster utilizing our assessment competence. For this, we particularly construct prototypes on quantum computers which are then compared among each other and to classical solutions. A tool for assisting such decisions, which implements resulting findings will accompany these assessments.
  • Realisation of pilot projects
    In close cooperation with user companies we realize prototypes in pilot projects. These pilot projects go far beyond the aforementioned use cases, solving application problems, that are business-critical and promise competitive advantages. An evaluation of the pilot projects allows for an assessment of the maturity and practical relevance of the QC-application.
  • Combined knowledge transfer
    In big german companies there already exist initiatives on the subject of quantum computing. To exploit the full potential of QC, a knowledge transfer of academia and economy as well as an exchange among experts is necessary to achieve synergies for all parties involved. For this, we host workshops, information events, seminars and courses in addition to the organization of numerous projects promoting the cooperation of industry and science.

6. Hardware

In addition to theoretical preliminary work like the use case analysis and the knowledge transfer, the QAR-Lab is able to evaluate prototypes and algorithms on various Quantum Computing Hardware already. Generally, there exits a distinction between two different types of Quantum Computing Hardware.
Quantum Annealer:
Quantum Annealer were especially constructed for solving optimization problems. All problems, no matter regarding cost-, distance- or other variables, get modelled onto a grid of qubits using a mathematical description – the so called Quadratic Unconstrained Binary Optimization (QUBO) problem – and are then solved by the hardware.
Universal Gate Quantum Computer:
The Universal Quantum Gate Model is another approach realising Quantum Computing and relies upon the usage of quantum gates. Similar to classical computers, logic gates are connected sequentially (to so called Quantum Circuits), to implement certain algorithms and solve problem statements.
In the QAR-Lab we engage on the implementation of QC-algorithms and their practical application on the following hardware-platforms:

  • D-Wave Systems (Quantum Annealing)
  • Rigetti (Gate Model)
  • IBM (Gate Model)
  • Fujitsu (Digital Annealing)

In addition to that, the QAR-Lab conducts conversations with the following hardware-platforms:

  • Quantum Inspire by QuTech (Gate Model)
  • Quantum Brilliance (Gate Model)
  • Google Sycamore (Gate Model)

7. Applications and Questions of Research

Mobility:

  • How can traffic be guided through a city in an optimal way, while minimizing congestions?
  • How do traffic participants influence each other?

 

Energy:

  • How can we utilize power plants and storage systems to optimize the distribution of load?
  • How can we predict possible surpluses and bottlenecks in advance?

 

Medcine:

  • What are the connections between patient data, recognized symptoms and selected treatment methods?
  • Which treatment is therefore the most promising?

 

Smart Farming:

  • How should machines be exploited ideally over the course of a day or a season?
  • How do parameters such as weather, demand and yield interact?

 

Smart Factory:

  • What is the fastest way to process product orders?
  • When should the failure or wear of a production machine be expected?

 

3D-Modelling:

  • How do I create a 3D representation from numerous individual measurements?
  • How can I derive an efficient design plan from object recognition?

 

Artificial Intelligence and Machine Learning:

  • Can machine learning and other optimization methods be combined with Quantum Annealing?
  • How can the decisions of several intelligent components be efficiently coordinated and coordinated?

 

Logistics:

  • Can gate allocation at an airport be accelerated to real-time?
  • How can all possible failures and problems with people and technology be reacted to at short notice?

8. Funded Projects

  • QAR-Lab Bayern
    In order of establishing a Bavarian ecosystem for Quantum Computing user competence, the QAR-Lab is supported by the Bavarian Ministry of Economic Affairs, Regional Development and Energy. The objective of this funding is the enstrengthening of the role of Munich in the German Quantum Computing collective. With our expertise in the areas of Quantum Optimization and Quantum AI, we actively advance the research and application of Quantum Computing by realizing pilot projects. In addition to that, we beneficially share newly gained scientific knowledge to an active network of industry and science.
  • PlanQK
    The QAR-Lab is founding member and member of the consortium in the BMWi (federal ministry for economy and energy) supported project PlanQK (platform and ecosystem for Quantum-assisted Artificial Intelligence).
    With our expertise in the fields of machine learning und quantum computing, wie support industry partners in development and implementation of quantum-assisted AI-algorithms for diverse business use cases. More information can be found here: PlanQK.

9. Papers

  • C. Roch, A. Imperto, T. Phan, T. Gabor, S. Feld and C. Linnhoff-Popien, „Cross Entropy Hyperparameter Optimization for Constrained Problem Hamiltonians Applied to QAOA“ accepted for publication, arXiv preprint arXiv:2003.05292 (2020).
    [Download PDF]
  • C. Roch, T. Phan, S. Feld, R. Müller, T. Gabor, C. Hahn, and C. Linnhoff-Popien, „A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games“ in 20th International Conference on Computational Science (ICCS 2020), 2020, p. 12. doi:10.1007/978-3-030-50433-5_38
    [Download PDF]
  • I. Sax, S. Feld, S. Zielinski, T. Gabor, C. Linnhoff-Popien, and W. Mauerer, „Approximate Approximation on a Quantum Annealer“ in 17th ACM International Conference on Computing Frontiers (ACM CF 2020), 2020, p. 9. doi:10.1145/3387902.3392635
    [Download PDF]
  • Thomas Hubregtsen, Christoph Segler, Josef Pichlmeier, Aritra Sarkar, Thomas Gabor, and Koen Bertels. Integration and Evaluation of Quantum Accelerators for Data-Driven User Functions. In 2020 21st International Symposium on Quality Electronic Design (ISQED), pages 329-334. IEEE, 2020. doi:10.1109/ISQED48828.2020.9137029
    [Download PDF]
  • T. Gabor, L. Suenkel, F. Ritz, L. Belzner, C. Roch, S. Feld, and C. Linnhoff-Popien, „The Holy Grail of Quantum Artificial Intelligence: Challenges in Accelerating the Machine Learning Pipeline,“ in 1st International Workshop on Quantum Software Engineering (QSE at ICSE), 2020. doi:10.1145/3387940.3391469
    [Download PDF]
  • T. Gabor, S. Feld, H. Safi, T. Phan, and C. Linnhoff-Popien, „Insights on Training Neural Networks for QUBO Tasks“ in 1st International Workshop on Quantum Software Engineering (QSE at ICSE), 2020. doi:10.1145/3387940.3391470
    [Download PDF]
  • S. Feld, C. Roch, K. Geirhos, and T. Gabor, „Approximating Archetypal Analysis Using Quantum Annealing“ in Accepted at the 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2020), 2020.
    [Download PDF]
  • S. Feld, C. Roch, T. Gabor, M. To, and C. Linnhoff-Popien, „The Dynamic Time Warping Distance Measure as QUBO Formulation“ in IEEE 5th International Conference on Computer and Communication Systems (ICCCS 2020), 2020. doi:10.1109/ICCCS49078.2020.9118469
  • T. Gabor, S. Zielinski, C. Roch, S. Feld, and C. Linnhoff-Popien, „The UQ Platform: A Unified Approach To Quantum Annealing“ in IEEE 5th International Conference on Computer and Communication Systems (ICCCS 2020), 2020. doi:10.1109/ICCCS49078.2020.9118547
  • S. Feld and C. Linnhoff-Popien, Quantum Technology and Optimization Problems: First International Workshop, QTOP 2019, Munich, Germany, March 18, 2019, Proceedings, Springer, 2019, vol. 11413. doi:10.1007/978-3-030-14082-3
  • T. Gabor, S. Zielinski, S. Feld, C. Roch, C. Seidel, F. Neukart, I. Galter, W. Mauerer, and C. Linnhoff-Popien, „Assessing Solution Quality of 3SAT on a Quantum Annealing Platform“ in 1st International Workshop on Quantum Technology and Optimization Problems (QTOP 2019), 2019, pp. 23-35. doi:10.1007/978-3-030-14082-3_3
    [Download PDF]
  • I. Sax, S. Feld, S. Zielinski, T. Gabor, C. Linnhoff-Popien, and W. Mauerer, „Torwards understanding Approximation Complexity on a Quantum Annealer (Extended Abstract)“ in 1st International Symposium on Applied Artificial Intelligence (ISAAI’19), 2019. doi:10.1007/s42354-019-0244-1
  • S. Feld, C. Roch, T. Gabor, C. Seidel, F. Neukart, I. Galter, W. Mauerer, and C. Linnhoff-Popien, „A Hybrid Solution Method for the Capacitated Vehicle Routing Problem Using a Quantum Annealer“ in Frontiers in ICT, 2019, pp. 1-13. doi:10.3389/fict.2019.00013
    [Download PDF]
  • S. Feld, M. Friedrich, and C. Linnhoff-Popien, „Optimizing Geometry Compression using Quantum Annealing“ in IEEE Workshop on Quantum Communications and Information Technology 2018 (IEEE QCIT 2018), 2018, pp. 1-6. doi:10.1109/GLOCOMW.2018.8644358
    [Download PDF]

10. The QAR-Lab Team of Experts


Thomas Gabor

(Co-Lead)

 


Magdalena Benkard

Marian Lingsch

Jonas Nüßlein

Irmengard Sax

Daniëlle Schuman

11. Partners

Together with the federal state capital munich we founded the Digitale Stadt München e.V. (Digital City Munich association) in 2016, a network of companies in munich. The QAR-Lab works in active cooperation with those companies in formats like workshops, symposia, informational events, projects, the magazine DIGITALE WELT (digital world), discussion groups and many more.

12. Further Links

13. Activities/News

Interview with „Markus Koch Wall Street“

On July 23, 2020, Dr. Sebastian Feld as been a guest in the live interview format „Markus Koch Wall Street“. The host Markus Koch (n-tv, Wall Street) has interviewed Dr. Feld as well as tech investor Thomas Rappold on the subject of „Quantum technology: where do we stand now and how do investors benefit?“.

The recording of this contribution, with all comments from the community, can be found on YouTube: https://www.youtube.com/watch?v=Fsh98YQJFkA


QAR-Lab is supporting D-Wave’s platform for joint research on COVID-19

D-Wave Systems, Canadian provider of quantum computing systems, software and services, has announced free access to its quantum computing platform for all researchers working on fighting the COVID-19 crisis. The QAR-Lab of LMU Munich is joining the effort of from both academia and the corporate world such as CINECA, DENSO, Forschungszentrum Jülich, Kyocera Corporation, KYOCERA Communication Systems, MDR/Cliffhanger, Menten AI, NEC Solution Innovators Ltd., OTI Lumionics, Sigma-i, Tohoku University und Volkswagen. Respective engineering teams are supporting the formal definition of problems and the development of solutions with their special knowledge on using quantum computers.

Hybrid quantum-classical computing might be fit for solving a variety of complex problems. Possible focus points for COVID-19 research might be the analysis of new methods for diagnostics, modeling the spreading of the virus, optimizing hospital logistics, distributing and dispatching care personnel and equipment and many more.

For further information regarding the available resources for this initiative please see www.dwavesys.com.


Lecture on Quantum Applications has started

In the beginning winter semester Prof. Dr. Claudia Linnhoff-Popien und Dr. Sebastian Feld are offering a lecture on „Quantum Applications“. Members of the QAR-Lab are going to be introducing the foundations of the currently active research area of quantum computing and teaching practical applications all the way to writing code for quantum annealers.


PlanQK is funded with 11 million Euro by the German Federal Ministry for Economic Affairs and Energy

The German Federal Ministry for Economic Affairs and Energy announced the 16 winners of its competition for innovation in artificial intelligence („Innovationswettbewerbs Künstliche Intelligenz“). One of the winners is the project PlanQK, which will be funded with eleven million Euro for a period of three years (starting January 2020 until December 2020). As part of the initial consortium of the planning phase, the QAR-Lab of LMU Munich together with our partners is delighted to research the connection between AI and quantum computing in practice and to make these technologies easily accessible for industrial applications. See the news on the LMU main page.


QAR-Lab at the second European D-Wave User Conference 2019

The second European D-Wave User Conference took place in Milan on March 26th and 27th. The conference featured speakers from D-Wave and a diverse set of users from the D-Wave community. Sebastian Feld, Thomas Gabor and Christoph Roch gave a Site Report about the activities and research results of the QAR-Lab.

Qubits Europe 2019


First International Workshop on Quantum Technology and Optimization Problems (QTOP 2019)

On Monday, March 18, 2019, the first edition of the „International Workshop on Quantum Technology and Optimization Problems“ took place. The aim of the workshop is to investigate the possibilities for the application of quantum technology and optimization problems. 21 submissions by 49 authors from 12 countries were reviewed by the workshop organizers Sebastian Feld and Claudia Linnhoff-Popien as well as by a top-class program committee. The conference proceeding has been published by editor Springer in the series „Lecture Notes in Computer Science“.
QTOP was part of NetSys 2019 and was hosted at TUM’s premises. The next edition of the QTOP workshop is scheduled for spring 2020 at the LMU Munich.
Agenda QTOP 2019


Dr. Sebastian Feld and Christoph Roch at OpenMunich 2019

On 01.02.2019 the OpenMunich Conference took place under the motto „Open Source and New IT“ at the LMU Munich. It featured top-class speakers and current topics from the participating companies, including Accenture and Red Hat. The QAR-Lab was represented with a Quantum Computing talk by Dr. Sebastian Feld and a Hands-On Quantum Annealing talk by Christoph Roch.


Talk at „4th Workshop on Quantum Communications and Information Technology“ (QCIT18)

The Workshop QCIT is the annual main meeting of the ComSoc Emerging Technology Committee and takes place at the IEEE Global Communications Conference (IEEE Globecom). This year, the events were hosted from December 9-13 in Abu Dhabi. The authors Feld, Friedrich, Linnhoff-Popien presented the joint paper „Optimizing Geometry Compression using Quantum Annealing“ on December 13th.


QAR-Lab visits Khalifa University in Abu Dhabi

On Wednesday, December 12, 2018, Prof. Dr. Linnhoff-Popien and Dr. Feld negotiated cooperations withe the Khalifa University of Science and Technology in Abu Dhabi, United Arab Emirates. The host Prof. Dr. Faisal Khan of department „Applied Mathematics and Sciences“ together with colleagues from the faculty, presented quantum computing activities, according to which the delegation from Munich did likewise. Targeted joint collaborations are the exchange of young scientists, a cooperation in the field of Smart City and a joint hosted conference.


Roundtable Event on the journal „Quantum Engineering“ of publisher Wiley

In the context of conference IEEE Globecom 2018 in Abu Dhabi the American publishing house Wiley organized a Roundtable Event. Prof. Dr. Linnhoff-Popien and Dr. Feld attended the meeting on December 12, 2018 and discussed the future of this journal with international quantum engineering experts.


Microsoft Dubai: Prof. Dr. Linnhoff-Popien and Dr. Feld connect Munich with Dubai

On December 10, 2018, the heads of QAR-Lab have been at Microsoft in Dubai, United Arab Emirates. The host presented a quantum computing project together with DEWA, so to speak the public services of Dubai, and also the Munich activities were presented. The next step is the further specification of a cooperation with the director of Microsoft’s „Quantum Business Development“.


„How Companies Can Prepare for Quantum Computing Now“

This is the title of the talk that Dr. Sebastian Feld held on November 22, 2018 at this year’s DIGITALE WELT CONVENTION 2018. The third DIGICON is a digitization conference for decision makers with more than 350 participants.


DIGICON 2018

The event „Digitale Welt Convention“ (DIGICON) in Munich took place from November the 21rd to 22th 2018. On the second day of the convention, the best practice day, Dr. Sebastian Feld gave a talk about „How industry can prepare for Quantum Computing“.


Prof. Linnhoff holds QC-Keynote at VDA Summit

The Quality Management Center (QMC) of the VDA invited to this year’s summit meeting in Berlin. On November 20th and 21st, representatives of German OEMs and their suppliers, representatives of the VDA and scientists discussed the digitization of the automotive industry.
Prof. Dr. Claudia Linnhoff-Popien hold a lecture on the topic „The use of Quantum Computing to optimize mobility scenarios“.


Cooperation talks with Bundeswehr University Munich regarding IBM Q-Hub

Prof. Dr. Linnhoff-Popien and Dr. Feld spoke with representatives of the Bundeswehr University Munich regarding cooperation in the IBM Q-Hub. Located at the University’s Cyber Defense research institute CODE, it is a network of research centers, universities and companies that explore quantum computing technologies and develop practical solutions for industry and science. IBM manufactures a quantum computer in the Quantum Gate Model.


Exchange with Volkswagen Group of America

On November 6, 2018, Dr. Sebastian Feld met the quantum computing scientists of the Volkswagen Group of America in San Francisco. In addition to a presentation of the QAR-Lab and the results of the hosts, the possibilities of joint cooperation were discussed.


Dr. Sebastian Feld visits QCWare in Palo Alto, USA

QCWare is an American company specializing in the development of quantum algorithms. From different experts, this company is referred to as one of the emerging quantum companies. Dr. Sebastian Feld from the QAR-Lab visited the company on 5 November, 2018 and talked about joint cooperation.


QTOP19: Call for Papers

Paper submission for the „First International Workshop on Quantum Technology and Optimization Problems“ (QTOP19) started today. QTOP19 is a workshop to be held on March 18, 2019 in connection with the NetSys conference in Garching near Munich. The aim of the workshop is to bring together experts from science and industry to discuss theory, technology and applications in the field of quantum computing and optimization problems. The workshop proceedings will be published in the Springer series „Lecture Notes of Computer Science“ (LNCS). Articles can be submitted until November 12, 2018.


President of D-Wave Systems visiting QAR-Lab

D-Wave at the QAR-Lab! On October 9th, Bo Ewald, President D-Wave International Inc., and his colleagues Andy Mason and Sheir Yarkoni visited the QAR-Lab at the chair for mobile and distributed systems. Our visitors got to experience first-hand, how scientists on site work with optimization and quantum annealing.


Dr. Sebastian Feld/Thomas Gabor with lecture at DLR workshop in Cologne

The German Aerospace Center (DLR) held a workshop on Quantum Computing for Applications in Science and Industry on October 1st and 2nd. On that occasion, Sebastian Feld and Thomas Gabor presented the most recent research results coming from the QAR-Lab.

scientists presented the QAR-Lab.


Prof. Dr. Claudia Linnhoff-Popien and Dr. Sebastian Feld visiting Prof. Dr. Martin Ester in Vancouver

Claudia Linnhoff-Popien and Sebastian Feld have held cooperation talks with Martin Ester of the Canadian Simon Fraser University. The computer science professor, among other things known for the development of the DBSCAN algorithm, teaches and conducts research in the areas of data mining, recommender systems and databases. The aim of a cooperation would be the combination of data mining algorithms with quantum computing techniques.


QAR-Lab visiting 1QBit in Vancouver

1QBit is a research-driven software company in Vancouver, Canada. Claudia Linnhoff-Popien and Sebatian Feld met Landon Downs, co-founder of 1QBit, along with other research and development staff on 20 September. The young and successful team presented the current developments of the company, just as the Munich computer scientists presented the QAR-Lab.


QAR-Lab visiting D-Wave Systems in Vancouver

On September 18th, Claudia Linnhoff-Popien and Sebastian Feld visited the Canadian manufacturer of quantum annealing hardware „D-Wave Systems„. There was an interesting exchange of experiences with Bo Ewald, President of D-Wave Systems. Subsequently, a laboratory tour as well as an exchange of current research results with numerous employees of D-Wave took place.


Thomas Gabor with presentation on QC and IT security at Command Control

Thomas Gabor spoke at the Command Control summit in Munich. With the title „Quantum Computing from Optimization to Artificial Intelligence: Effects on Business, Software and Security“ he gave an introduction to the effects of the quantum revolution on the field of IT security.


Cooperation talks with head of the LRZ

Prof. Dr. Dieter Kranzlmüller, head of the Leibniz Computing Center (Leibniz-Rechenzentrum, LRZ) and Prof. Dr. Claudia Linnhoff-Popien, head of the QAR-Lab, talked about joint cooperations on July 17, 2018. The LRZ works, among other topics, in the field of high-performance computing, whereas quantum computing counts as a novel technique. This involved both hardware in the quantum gate model as well as quantum annealers.


QAR-Lab at workshop at IBM Watson IoT Center

„Münchner Kreis“ held the event „Quantum Technology – Impact on Computing and Communication“ on July 5th. QAR-Lab employees Sebastian Feld and Thomas Gabor participated the heavily attended conference hosted at the IBM Watson IoT Center in Munich. In addition to manufacturers of quantum technology such as Fujitsu, Atos, Intel, Google, D-Wave and IBM, other companies and universities have given talks and presented demonstrations.


More than 600 LMU students receive QC introduction in Bacholor studies

Premiere! On Juli 21st 2018, Quantum Computing was covered in the lecture on computer architecture with more than 600 students attending. The students learned about a completely new way to construct and use a computer. Computing resources on a D-Wave machine will be provided to enable all students to try out their newly acquired knowledge.


Thomas Gabor with lecture on Quantum Machine Learning at automatica 2018

Thomas Gabor gave a talk about future developments of industry automation with Artificial Intelligence at the IT2Industry forum of the automatica 2018 on Juni 19th 2018. The use of Quantum Computing, for instance to enable Quantum Machine Learning, was also discussed.


CIO of Allianz visiting QAR-Lab

Dr. Ralf Schneider, Group CIO of Allianz, visited the QAR-Lab at the LMU Munich on June 8th 2018. The background of Quantum Computing and Quantum Annealing as well as concrete practical applications and future activities were discussed in a half-day workshop.


QAR-Lab presenting the QASAR results at Volkswagen Data:Lab Munich

Prof. Dr. Claudia Linnhoff-Popien, Dr. Sebastian Feld and Thomas Gabor presented the results of the project „Quantum Annealing Systems, Applications and Research (QASAR)“ in cooperation with Volkswagen Data:Lab Munich on behalf of the whole team on May 14th 2018.


Dr. Sebastian Feld /Thomas Gabor with lecture at QUBITS Europe 2018

The QUBITS Europe 2018 is a user conference of D-Wave, a manufacturing company of Quantum Annealing hardware. The conference took place in Munich from April 10th to 12th 2018. Dr. Sebastian Feld and Thomas Gabor presented current research results of the cooperation with Volkswagen. The talk has the title „QASAR – Results and Hands On Demonstration of a Joint Project of VW and LMU“ and the slides can be found on the conference web page.


Quantum Computing in lecture

Since the summer semester of 2018, the lecture on computer architecture by Prof. Dr. Claudia Linnhoff-Popien for undergraduate students in computer science and students who minor in computer science contains a new chapter about Quantum Computing, which includes motivation about Quantum Computing, the basics about Quantum mechanics as well as Quantum Annealing and Quantum Gate Model. The script can be found on the web page of the lecture.


Dr. Sebastian Feld gave a talk about QC at OpenMunich 

OpenMunich is a conference for „Open Source and New IT“, which took place at the LMU on December 1st 2017. Dr. Sebastian Feld gave a talk with the title „Solving the Travelling Salesman Problem Using Quantum Computing“. The corresponding slides can be found here.


DIGICON 2017

The event „Digitale Welt Convention“ (DIGICON) in Munich took place from November the 23rd to 24th 2017. On the second day of the convention, the strategy day, Dr. Sebastian Feld gave a talk about „Innovation Trigger Quantum Computing“.

 

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