Getting hands-on with quantum computing is a 2-day course.
The two-day programme provides software developers with a practical introduction to quantum computing and its applications. Participants are introduced to the fundamentals of quantum computers, quantum algorithms, optimisation, and quantum machine learning, while gaining hands-on experience through guided notebook exercises and access to quantum simulators and computers. The course also covers major quantum computing platforms, current technological capabilities, and real-world applications in areas such as logistics, finance, pharma, and defence. The programme concludes with guidance on further learning pathways and resources for continued development.
What you will learn
- You will understand the fundamental principles behind quantum technology.
- You will gain insight into quantum applications and technological trends.
- You will work on practical use-cases with access to quantum simulators.
How the course adds value to your organisation
- Internal capability in a rapidly advancing technology area enables your organisation to stay competitive as quantum solutions mature.
- Your team’s ability to assess potential quantum-driven innovations and identify relevant applications within your organisation is enhanced.
- It strengthens your team’s problem solving capacity by equipping you with cutting edge tools and methods informed by quantum computing.
- A clearer understanding of technological trends and the future potential of quantum technologies supports strategic decision-making.
Your profile
You are a programmer that is used to working in Python. The course is designed for software developers with a background in mathematics, physics or engineering who wish to get an introduction to quantum computers, quantum software, and algorithms. It is not aimed at experts, but rather at curious professionals with an interest in technology and innovation.
Day 1
09:30 | Welcome and introduction to the day
Lars Rasmussen, Consultant
- Overview of the programme, objectives and key learning outcomes.
10:00 | Introduction to Quantum Computers
Robin Kaarsgaard Sales, Associate Professor
- Introduction to the fundamentals of quantum computing, including how quantum computers differ from classical high-performance computers. The session covers major hardware platforms, hybrid workflows and current technological challenges.
11:00 | Break
11:15 | Introduction to Quantum Algorithms
Robin Kaarsgaard Sales, Associate Professor
- Introduction to quantum algorithms and quantum software, including how classical and quantum computing can work together to solve complex problems. The session covers relevant problem types, current challenges and emerging approaches.
12:15 | Lunch
13:15 | Quantum Optimisation in Logistics
Adrian Petr, Postdoc
- Introduction to quantum optimisation and its potential applications in logistics. The session covers key algorithms, hybrid approaches and practical examples such as routing, scheduling and portfolio optimisation.
14:15 | Hands-on: Quantum Circuits
- Guided work with a prepared notebook. Participants learn how to define, run and visualise simple quantum circuits.
15:15 | Break
15:30 | Quantum Machine Learning
Giacomo Cappiello, Postdoc
- Introduction to quantum machine learning and hybrid models, including data encoding, variational quantum circuits and hybrid optimisation loops.
16:30 | Hands-on: Quantum Machine Learning
- Guided work with a prepared notebook to implement and experiment with the QML models introduced in the previous session.
17:30 | Transport to hotel
19:00 | Dinner at Oluf Bagers Gård
- Dinner and informal discussion.
Day 2
09:00 | Quantum Algorithms: Gaussian Boson Sampling
Frederik Rosendal Rytter, PhD
- Introduction to Gaussian Boson Sampling (GBS), including its underlying principles, computational properties and applications. The session introduces how GBS can be used to approximate Gaussian-weighted integrals.
10:00 | Hands-on: Gaussian Boson Sampling
- Work with a prepared notebook to compare classical and GBS approaches to approximating Gaussian-weighted integrals.
11:15 | Break
11:30 | Quantum Computer Platforms and Capabilities
Greyson Potter, Postdoc
- Introduction to different quantum computing platforms, their capabilities and the current quantum hardware landscape.
12:00 | Lunch
13:00 | Accessing Quantum Computers and Quantum Services
Greyson Potter, Postdoc
- Introduction to accessing quantum computers and simulators through available quantum computing platforms and services.
13:30 | Hands-on: Connecting to a Quantum Computer
Greyson Potter, Postdoc
- Connect to a quantum computer and execute quantum code.
14:30 | Quantum applications in finance, pharma and defence
Jørgen Ellegaard Andersen, Centre Director and Professor
- Introduction to Qpurpose’s applications in finance, pharma and defence, including selected use cases, live demonstrations and examples of value creation for end users.
15:30 | Getting Started with Further Learning
Greyson Potter, Postdoc
- Introduction to recommended learning tracks, tools and resources for continued learning and development.
15:45 | Feedback
Lars Rasmussen, Consultan
16:00 | Goodbye
From 2 March 2027 at 09:30 to 3 March 2027 at 16:00.
The teaching is conducted by researchers affiliated with the Centre for Quantum Mathematics at SDU.
Price: DKK 1,499 (incl. VAT)
Breakfast, lunch, snacks, and dinner are included.
Travel and accommodation costs are not included. Please ensure you have booked your transportation and hotel before you arrive.
Do you have any questions?
Contact Diana Uy-Tuazon at uytuazon@imada.sdu.dk