2-day basic course on quantum computers and the algorithms that control them.Compared to ordinary computers, quantum computers behave very differently. Instead of bits, the basic units of quantum computers are quantum bits, qubits. By exploiting quantum superposition and entanglement of the qubits, quantum computers have the potential to revolutionize high-performance computing. Quantum computers differ from their classical counterparts also when it comes to basic computational operators. Before they can be utilized, quantum computers require tailor-made programs and algorithms. In this course, we will go through the basic operating principles of quantum computers and put the theory into immediate hands-on practice. We will get acquainted with quantum algorithm programming by using Kvasi, the Atos Quantum Learning Machine, capable of emulating a 30+ qubit quantum computer.PrerequisitesNo previous experience with quantum computers is expected. Basic programming skills and familiarity with the Jupyter Notebook environment is an asset, however; a quick overview of Jupyter usage.Schedule9:00 - 16:00 on both daysDay 1: Introduction, basic algorithms, myQLM on notebooks.csc.fi9:00   Morning session, includes 2x15 minute breaks as suitable          Introduction          Quantum computers, what are they?          Quantum algorithms, intro to myQLM          Hands-on 0: Superposition and measurements12:00  Lunch13:15  Afternoon session, includes 2x15 minute breaks as suitable          Hands-on 0: Superposition and measurements          Hands-on 1: Creation of an EPR pair          Hands-on 2: Parametrized gates          Getting ready for Day 2: Logging into Kvasi16:00  End of Day 1Day 2: Noise and other physical constraints, Kvasi.csc.fi9:00   Morning session, includes 2x15 minute breaks as suitable          Hands-on 3: The Deutsch algorithm          Hands-on 4: Circuit conversion for the Deutsch algorithm          Effect of noise on quantum computing          Hands-on 5: Noisy simulation of the Deutsch algorithm12:00  Lunch13:15  Afternoon session, includes 2x15 minute breaks as suitable          Hands-on 5: Noisy simulation of the Deutsch algorithm          Hybrid classical + quantum computing          Quantum Approximate Optimization Algorithm, QAOA          Hands-on 6: MaxCut with QAOA          Other algorithms, wrapping up16:00  End of Day 2LecturersJami Rönkkö (IQM) and Mikael Johansson (CSC)Price: Free