The CAS programme provides a unique opportunity for professionals in the life sciences and similar fields to acquire expertise in quantum computing and leverage its potential for transformative advancements in their respective domains. Through a comprehensive curriculum and practical hands-on experiences, participants will be prepared to navigate the intersection of quantum computing and life sciences, driving innovation and shaping the future of scientific research and applications in their organizations.
Content
Introduction
Basics of quantum information
Basics of quantum computing
From classical computational challenges to “quantum Hello World”
Introduction to various quantum hardware and software alternatives.
Workshops with main commercial options
Review and hands-on practice of various quantum algorithms
Application of use cases
Beyond quantum computing
Quantum ecosystem
Trends
Overview
The CAS programme is a specialized and comprehensive programme that combines foundational knowledge in quantum computing with its practical applications in the life sciences and similar domains. It is tailored to individuals who possess a background in the life sciences, such as bioinformatics, biotechnology, pharmaceuticals, or related fields, and are interested in leveraging quantum computing to enhance their work. The CAS programme is for novices and requires learners to have only basic algebra and programming notions (Python). These basic notions will also be refreshed during the programme.
Tertiary educational qualification (at least Bachelor degree level) and relevant professional experience or
Federal Diploma of Higher Education (from a Swiss “Höhere Fachschule” or “eidg. HFP” or “eidg. BP”), and at least 3 years of relevant professional experience in a subject relevant to or related to the continuing training program
Interested persons without tertiary educational qualification can be admitted, if they have a minimum of 5 years professional experience in a subject relevant to or related to the continuing education programme and if they have successful completed various continuing training courses (in-company or CAS/MAS/DAS) or discontinuation of tertiary education with advanced participation or partial achievement (> 50%)
As the instruction and educational materials are in English, proficiency in English (reading and writing) is a prerequisite. A level C1 (GER) is recommended.
By completing this CAS programme, participants will gain an understanding of quantum computing principles, algorithms, and applications specific to the life sciences domain. Participants will be equipped with the necessary skills to harness the power of quantum computing in their activities, enabling them to address complex biological and medical challenges more efficiently and effectively. After the CAS programme, participants will be able to:
Describe the differences between quantum and classical computation.
Discern potential performance gains of quantum vs. classical algorithms.
Assess the business applications of quantum computation.
Understand engineering challenges currently faced by developers of quantum computers.
Become proficient with engineering requirements for quantum vs classical algorithm implementation.
Discern the scientific limits of quantum algorithms for chemistry and optimization.
Determine technical requirements for quantum computers to run realistically large quantum algorithms.
Evaluate key technology requirements for quantum computers to be able to function properly.
Understand the mathematical description of quantum states and basic quantum operations and algorithms.
Effectively communicate the technical aspects of quantum computing to non-experts in the field, such as medical professionals or decision makers.
As proof of performance, the following are included in the evaluation: The preparation of a practical work incl. presentation and a written validation of the learnings.
The programme duration is 15 days (Fridays). It includes a combination of lectures, hands-on workshops, and project work to ensure practical learning and application of quantum computing concepts.
