Switzerland will host its first IBM Quantum System Two. On September 10, IBM and Lockheed Martin announced the creation of a Swiss Quantum Innovation Hub linked to ETH Zurigo through an offset agreement with armasuisse, the Swiss Federal Office for Defence Procurement. The system will be installed at the Swiss National Supercomputing Centre in Lugano and will be operated by IBM with a Quantum Nighthawk processor.
The project brings together academic research, industry, and national security in a single infrastructure. ETH will provide expertise and access for Swiss universities, startups, and companies, while IBM and Lockheed intend to launch projects with selected institutions. This is not the announcement of a quantum computer capable of replacing classical machines: it is an investment in access, training, and algorithm development while the technology remains in a phase of rapid evolution.
Why install a physical system in Switzerland
Many quantum computers are already accessible via the cloud. However, hosting an on-premise system offers advantages in research, sovereignty, and operational expertise. Engineers and researchers can work more directly on integration with supercomputing and develop hardware knowledge beyond remote use.
For sensitive sectors such as defence, pharmaceuticals, and finance, a local presence can also facilitate projects with specific data and governance requirements.
Quantum System Two is designed as a modular architecture
IBM designed System Two as a platform that integrates quantum processors with control electronics and classical computing. Useful quantum is unlikely to be an isolated machine: it will work alongside HPC and AI, offloading only the classes of problems where it offers an advantage.
Its deployment at CSCS makes this logic particularly evident. Lugano already hosts supercomputing infrastructure and can become a venue for testing hybrid workflows.
Nighthawk represents IBM's most advanced generation
IBM identifies Nighthawk as its most advanced quantum processor. As with any quantum hardware, qubit count alone is insufficient to describe capability. Fidelity, errors, connectivity, and software quality all matter.
The industry roadmap points toward systems capable of running deeper circuits with error correction or error mitigation effective enough to yield useful results.
Lockheed brings industrial and defense use cases
Lockheed Martin has worked with IBM on quantum applications for years, pairing this focus with initiatives in quantum sensing and advanced manufacturing. For a defense contractor, the potential value lies in optimization, materials, simulation, and complex systems.
The presence of armasuisse shows that the project also carries strategic significance for Switzerland, while remaining open to civilian research and industry.
Switzerland already boasts a strong ecosystem
ETH Zurigo is one of Europe's leading physics and engineering hubs, and the region is home to startups and labs across quantum technologies. An IBM system can serve as a shared infrastructure that lowers the barrier to entry for teams that cannot afford dedicated hardware.
The value of a hub does not lie in the machine itself, but in the density of talent and projects it manages to foster around it.
Quantum is a talent race before a product race
Commercially viable, large-scale quantum computers will still require further breakthroughs. In the meantime, nations are competing to train researchers and engineers. Those who begin working on these systems today build expertise that will be difficult to quickly import later on.
This explains why governments are funding infrastructure even when an immediate economic return is far from guaranteed.
The risk lies in building hardware without use cases
Many tech hubs fail when they celebrate installations but neglect to develop concrete adoption programs. IBM and Lockheed have announced plans to launch projects with academic institutions, but the quality of those initiatives will determine their true value.
What is needed are problems where quantum can be benchmarked against classical methods with measurable outcomes, steering clear of demos designed solely to show that the hardware works.
Integration with AI and supercomputing is likely the most realistic path
In the near term, quantum computers will not replace classical data centers. However, they can serve as specialized accelerators within broader workflows. CSCS is a natural venue to test this coexistence.
The ability to orchestrate jobs across CPUs, GPUs, and QPUs will be just as critical a skill as developing the quantum algorithm itself.
European competition is heating up
Finland, France, Germany, the United Kingdom, and other countries are investing in quantum hardware and startups. Switzerland is now adding a national IBM infrastructure. No one yet knows which architecture will dominate, so diversifying expertise may be more important than picking a winner too early.
The new hub does not solve the fundamental problem of quantum errors, but it builds something that takes years: an ecosystem capable of working on problems as hardware improves. In a technology where future advantage may depend on knowledge accumulated today, this is probably the most important return on investment.
