European supercomputer centres are at the forefront of technological advancements as they incorporate quantum computers into their systems while upgrading to the GH200 Grace Hopper superchips. This move represents a significant leap in computational capabilities and opens up new possibilities for scientific research and innovation.
In Germany and Poland, supercomputer centres are leveraging the open-source Nvidia CUDA-Q platform in conjunction with quantum processing units (QPUs) from IQM and ORCA. Germany’s Jülich Supercomputing Centre (JSC) at Forschungszentrum Jülich is integrating a QPU from IQM Quantum Computers with its JUPITER supercomputer, which already utilizes the GH200 Grace Hopper chips.
Meanwhile, Poland’s Poznan Supercomputing and Networking Center (PSNC) has recently implemented two photonic QPUs provided by ORCA Computing. These QPUs are connected to a new supercomputer partition accelerated by NVIDIA Hopper, enhancing the computational capabilities of the centre.
The collaboration between IQM and JSC will empower researchers to explore quantum applications for chemical simulations and optimization problems. The IQM QPU, equipped with superconducting qubits, demonstrates how classical supercomputers can benefit from quantum acceleration, particularly in scenarios involving low-temperature environments.
By tightly integrating quantum computers with supercomputers through CUDA-Q, researchers can leverage the combined power of quantum computing and AI to tackle complex problems such as noisy qubits and develop more efficient algorithms. This integration is crucial for advancing the field of quantum-integrated supercomputing and driving scientific discovery.
PSNC’s adoption of QPUs from ORCA and NVIDIA will enable researchers to delve into diverse fields such as biology, chemistry, and machine learning. The quantum photonics systems utilized by PSNC leverage single photons at telecom frequencies as qubits, offering a scalable and modular quantum architecture. This innovative approach opens up new possibilities for quantum-accelerated supercomputing applications.