Exploring Quantum DevOps: Machine Learning and Optimization in Quantum Computing Workshop

Bayern Innovativ and Fraunhofer IIS are hosting a workshop on quantum computing for industrial applications. The workshop will focus on the use of machine learning and mathematical optimization in quantum computing. Participants will learn about the current status of these technologies and their potential applications. The workshop will feature presentations from experts such as Dr. Andreas Boehm from Bayern Innovativ, Dr. Daniel Scherer from Fraunhofer IIS, Prof. Dr. Sebastian Feld from Delft University of Technology & QuTech, and Dr. Shai Machnes from Qruise GmbH. The event aims to foster networking and development of application profiles and visions.

Quantum DevOps Workshop: Exploring Machine Learning and Mathematical Optimization

On September 29, 2023, Bayern Innovativ GmbH in Nuremberg will host a workshop on quantum computing for industrial applications. The workshop, organised in collaboration with Fraunhofer IIS, aims to educate service providers, software and hardware providers about the current status of optimization and machine learning in quantum computing. The workshop will also provide a forecast of developments in the field over the next 2-5 years.

The workshop is designed for service providers for optimization, software providers in the quantum computing (QC) area, hardware providers in the QC area, and stakeholders such as large companies with their research strategy. The goal is to help these groups understand where they can use QC as a service provider and to develop application profiles and visions.

Workshop Structure and Benefits

The all-day workshop will involve discussions on potential quantum computing applications, from concept through to implementation. The workshop will also focus on quantum DevOps and its positioning in the value chain. Participants will have the opportunity to network with like-minded individuals and engage in vertical networking through the QC Stack, which includes hardware, software, and applications.

Topics to be Addressed

The workshop will cover a range of topics, including machine learning and mathematical optimization for quantum computing middleware/quantum DevOps. It will also explore use cases and examples of quantum computing-based machine learning and mathematical optimization in logistics and AI. The aim is to make QC usable with tools and helpers.

Workshop Schedule

The workshop will begin with a check-in at 09:30, followed by a welcome and introduction to the topic by Dr. Andreas Boehm and Dr. Daniel Scherer. The morning session will include presentations on machine learning for quantum system software and accelerating the development of quantum technologies using machine learning. The afternoon session will feature a case study on deploying a complex, hybrid-classical-quantum QUBO Solver in the cloud and a discussion on what consultants and users need in QC.

Participation in the workshop is free of charge. After registering for the workshop, participants will receive a confirmation of participation with a link to a questionnaire. The responses to this questionnaire will help the organisers prepare for the workshop and address the topics and concerns of the participants in a targeted manner.

  • “Accelerating the development of quantum technologies using machine learning” – Dr Shai Machnes, CEO, Qruise GmbH
  • “The DLR Quantum Computing Initiative: A current overview” – Dr Andreas Spörl, Task Force Lead, DLR
  • “Case Study: deploying a complex, hybrid-classical-quantum QUBO Solver in the cloud” – Dr.-Ing. Daniel Thuerck, Head of Development: Quantum Systems, Quantagonia GmbH
  • “Machine Learning for Quantum System Software” – Prof. Dr Sebastian Feld, Group Head Quantum Machine Learning, Delft University of Technology & QuTech

Summary

Quantum computing is being explored for its potential applications in machine learning and mathematical optimisation, focusing on future developments in the next 2-5 years. The workshop aims to enhance understanding of quantum computing’s role in these areas and to identify practical use cases, particularly in logistics and AI.

  • Bayern Innovativ and Fraunhofer IIS are hosting a workshop on quantum computing for industrial applications. The workshop aims to educate service providers, software and hardware providers about the current use of optimization and machine learning in quantum computing.
  • The workshop will also provide an outlook on developments in the field over the next 2-5 years. Participants will have the opportunity to network and develop application profiles and visions.
  • The workshop will cover topics such as machine learning and mathematical optimization for quantum computing, use cases for quantum computing-based machine learning, and quantum computing-based mathematical optimization in logistics and AI.
  • Key speakers include Dr. Andreas Boehm, Head of Quantum Technology at Bayern Innovativ, Dr. Daniel Scherer, Program Manager Quantum Computing at Fraunhofer IIS, Prof. Dr. Sebastian Feld, Group Head Quantum Machine Learning at Delft University of Technology & QuTech, and Dr. Shai Machnes, CEO of Qruise GmbH.
  • The workshop is free of charge and will take place on September 29, 2023, at Bayern Innovativ GmbH, Nuremberg.

Register

The Quantum Mechanic

The Quantum Mechanic

The Quantum Mechanic is the journalist who covers quantum computing like a master mechanic diagnosing engine trouble - methodical, skeptical, and completely unimpressed by shiny marketing materials. They're the writer who asks the questions everyone else is afraid to ask: "But does it actually work?" and "What happens when it breaks?" While other tech journalists get distracted by funding announcements and breakthrough claims, the Quantum Mechanic is the one digging into the technical specs, talking to the engineers who actually build these things, and figuring out what's really happening under the hood of all these quantum computing companies. They write with the practical wisdom of someone who knows that impressive demos and real-world reliability are two very different things. The Quantum Mechanic approaches every quantum computing story with a mechanic's mindset: show me the diagnostics, explain the failure modes, and don't tell me it's revolutionary until I see it running consistently for more than a week. They're your guide to the nuts-and-bolts reality of quantum computing - because someone needs to ask whether the emperor's quantum computer is actually wearing any clothes.

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