What's Happening?
Rigetti Computing, in partnership with Hewlett Packard Enterprise (HPE) and the Pittsburgh Supercomputing Center (PSC), is set to develop a new hybrid quantum-classical supercomputer named TangleLab. This initiative is supported by a $5 million grant
from the National Science Foundation (NSF). The project will feature a 9-qubit Novera quantum computing system integrated with a classical high-performance computing system. The collaboration aims to advance hybrid quantum-classical workflows for research institutions and enterprises, enhancing the capabilities of high-performance computing systems. The TangleLab testbed will provide researchers and educators with access to cutting-edge quantum computing resources, facilitating innovation and discovery in the field.
Why It's Important?
The development of TangleLab represents a significant step forward in the integration of quantum computing with classical computing systems. This hybrid approach is crucial for advancing research and practical applications in fields that require high-performance computing. By combining the strengths of quantum and classical computing, the project aims to overcome current limitations and accelerate the development of new technologies. The collaboration between Rigetti, HPE, and PSC highlights the growing importance of partnerships in advancing quantum computing capabilities. The NSF's investment underscores the strategic priority of quantum information science and artificial intelligence in national research agendas.
What's Next?
Construction of the TangleLab facility is scheduled to begin on September 1, 2026, at PSC's new data center, with full operational capacity expected in 2027. The project will involve a competitive proposal process to allocate time on the system, allowing researchers and educators to utilize the hybrid computing resources for various applications. The collaboration will also focus on providing training and research consulting to support users with different levels of experience in quantum computing. As the project progresses, it is expected to contribute to the development of new quantum-classical workflows and enhance the understanding of how these systems can be effectively integrated.
