Seminar Quantum Computing for Life Sciences & Industry, FHNW School of Life Sciences

Gain a solid introduction to quantum computing – with a focus on real-world relevance for research, industry and decision-making.

By the end of the seminar, you will be able to:

• understand the fundamental principles of quantum computing
• differentiate between quantum and classical paradigms and recognise their respective strengths
• evaluate potential business applications and key technology requirements
• identify engineering and technical challenges in developing and implementing quantum solutions
• recognise scientific limitations and optimisation of quantum algorithms in fields such as chemistry
• grasp the mathematical foundations of quantum states, operations and algorithms
• effectively explain quantum computing concepts to non-experts, including medical professionals and decision-makers

The seminar is aimed at professionals and leaders in life sciences, finance, communications, electricity, transport & logistics and many other sectors, who are seeking to understand the business and technical implications of quantum computing. It’s designed for a diverse mix of backgrounds, including board members, investors, consultants, auditors and project managers, as well as those in technical roles.

The seminar is for non-experts with a basic understanding of algebra and/or programming (Python). These fundamentals will also be covered at the start to ensure everyone is up to speed.

This seminar is delivered as an intensive 3-day bootcamp on campus. It includes lectures, group exercises and insights from industry experts at leading companies.
You will explore foundational principles, experiment with real quantum code, and critically reflect on future potentials and limitations. The seminar fosters intuitive understanding while addressing pressing questions from business and science.
You will explore your own use case, tailored to your interests, through a comprehensive curriculum and hands-on experience. 

Day 1: Introduction and basic computer science concepts. First elements of quantum physics and quantum information.

Day 2: Quantum computing hardware and software. More on quantum computing and quantum optimisation.

Day 3: Hybrid quantum-classical algorithms and quantum machine learning. Beyond quantum computing. Applications, ecosystems and ethical considerations.

All general documents can be found here.