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Quantum Framework (QFw): A Flexible Framework for Hybrid HPC and Quantum Computing

Quantum Framework (QFw): A Flexible Framework for Hybrid HPC and Quantum Computing

Practical Solutions and Value of Quantum Framework (QFw)

Revolutionizing Quantum and HPC Integration

Quantum computing has the potential to significantly impact algorithms and applications, working alongside traditional high-performance computing. Noisy Intermediate-Scale Quantum (NISQ) devices present powerful computational platforms, but face challenges such as limited qubit coherence times and high error rates. Quantum simulators are critical for developing and testing quantum algorithms in a controlled, error-free environment.

Integration of Quantum Computing into HPC Environments

Various approaches integrate quantum computing into HPC environments, offering loose and tight integration. Loose integration provides flexible coupling between quantum and classical systems, while tight integration involves directly integrating quantum processing units (QPUs) into HPC nodes. Managing resources and optimizing performance pose challenges across these hybrid systems.

Quantum Framework (QFw) by Oak Ridge National Laboratory

The Quantum Framework (QFw) offers loose integration of quantum computing with HPC environments, providing a unified solution for hybrid applications with the maximum benefits of HPC for quantum simulation. It allows researchers to fully leverage HPC resources for quantum computing and seamlessly transition between simulation backends and real quantum hardware.

Evaluation and Performance Highlights

The QFw has been evaluated using different frontends and backends, demonstrating efficiency in running multiple simulations together and smart resource management. It also showcases flexibility in combining different frontends and backends.

Benefits and Flexibility

QFw offers researchers the flexibility to advance quantum research on the Frontier supercomputer without technical barriers, allowing simulations on HPC systems to surpass normal limits and easily transition to physical quantum hardware. Its versatility allows the integration of different quantum platforms without infrastructure or application changes.

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