Researchers at Jülich have simulated a neural network with 300 million synapses at an unprecedented level of speed using a prototype of the IBM INC-3000 “neural” supercomputer. The overall goal is to gain a better understanding of learning processes and brain development.

Millions of quantum bits are required for quantum computers to prove useful in practical applications. But this is still a long way off. One problem is that the qubits have to be very close to each other on the chip. Researchers in Jülich and Aachen have now come a significant step closer to solving the problem. They succeeded in transferring electrons over several micrometres on a quantum chip.

The Helmholtz hydrogen cluster HC-H2 aims to provide crucial impetus for the transformation of the Rhineland into a pioneering model region for hydrogen technologies. Minister-President Hendrik Wüst, State Secretary at the Federal Ministry of Education and Research Judith Pirscher, and NRW Minister of Culture and Science Ina Brandes attended the official opening.

Researchers at Jülich have simulated a neural network with 300 million synapses at an unprecedented level of speed using a prototype of the IBM INC-3000 “neural” supercomputer. The overall goal is to gain a better understanding of learning processes and brain development.