A hybrid system that marries quantum computing with traditional high-performance computing is currently being developed in Austria.

In a collaborative study by Qruise and Quantum Machines, a team of researchers have applied Qruise’s advanced Model Learning algorithms to significantly improve superconducting flux-based entangling gates. By combining data from multiple experiments, the team developed a highly-accurate digital twin of the quantum system in order to reverse engineer signal distortions.