Update README.md

Author: mhjensen

README.md

@@ -2,15 +2,15 @@
 
 The first part of the course (project 1 and till mid march) has its
 focus on studies of quantum-mechanical many-particle systems using
-quantum computing algorithms and quantum computers. The second part is
-optional and depends on the interests and backgrounds of the
+quantum computing algorithms and quantum computers. The second part
+depends on the interests and backgrounds of the
 participants. The lectures cover mainly quantum machine learning
 algorithms with an emphasis on variational quantum algorithms for
 NISQ-era quantum computers.  The schedule is adaptive and the lecture
 plan from the spring 2026 (see below) reflects the choices which can
 be made.
 
-We discuss for example quantum machine learning methods such as
+During spring 2-26 we have discussed for example quantum machine learning methods such as
 quantum neural networks, quantum support vector machines, quantum Boltzmann
 machines and the QAOA algorithm. Fault-tolerant algorithms like
 quantum Fourier transforms, quantum phase estimation and the HHL