What are the complexities and requirements of integrating quantum computers into High-Performance Computing (HPC) centers? In a recent article in HPC Wire two experts explore this in depth, covering various aspects such as physical attributes, software stack, hybrid algorithms, and monitoring and management.
Physical Attributes:
Quantum computers must fit within the existing infrastructure of an HPC center, both in terms of size and cooling systems. They generally consume less power compared to classical HPC resources.
Software Stack:
Robust APIs and SDKs are essential for integration. Middleware acts as a bridge between quantum and classical systems, and compatibility with existing HPC software stacks, like SLURM, is crucial.
Hybrid Algorithms:
Being HPC-ready also means having the capability to execute hybrid classical/quantum algorithms efficiently. The software should have an orchestration layer to manage workflows and error correction between the two types of computing resources. The use of GPUs in tandem with quantum computers is also highlighted.
Monitoring and Management:
Real-time monitoring tools should integrate with existing HPC solutions and track various Key Performance Indicators (KPIs) like execution time, job success rate, and resource utilization.
Read the full article here.
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