Review
Quantum DevOps - New Application Areas for Machine Learning and Mathematical Optimization
29. September 2023
10:00 - 17:00

In the second workshop on quantum computing for industrial applications by Bayern Innovativ together with Fraunhofer IIS, service providers as well as software and hardware vendors will learn the current state of play on the use of optimization and machine learning for and with quantum computing. We will give an outlook on what will happen in the next 2-5 years. Network with like-minded people and develop application profiles and visions with us. :
Contemporary quantum computers are extremely fragile devices that are highly sensitive to environmental noise and device imperfections; and as such require extensive and continuous calibration and characterization to ensure operations at the highest level of fidelity. Traditional techniques designed for research-grade prototype devices fail to scale when applied to the large industrial quantum computers with stringent requirements of efficiency and up-time. Modern machine learning based techniques rooted in Statistical Learning and Bayesian Optimal Experiment Design provide a suitable solution to this bottleneck, allowing scalable and adaptive characterization of these devices. We will describe techniques and tools developed by Qruise GmbH for applying data-driven learning of quantum computers models, and how these can be used to accelerate the development of such devices.
- Where are current technical bottlenecks?
- What is hindering development and growth?
- Where are possible interfaces with AI and optimization?
- What are recurring hurdles?
- What does it take as a next step to get started with QC?
- What tools does it take to efficiently solve problems relevant to QC?