A conceptual framework for quantum accelerated automated design optimization

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The development of practical quantum computers that can be used to solve real-world problems is in full swing driven by the ambitious expectation that quantum supremacy will be able to outperform classical super-computers. Like with any emerging compute technology, it needs early adopters in the scientific computing community to identify problems of practical interest that are suitable as proof-of-concept applications and to revise existing solution strategies and develop new ones that exploit the capabilities of the novel compute hardware. In this article we describe a conceptual framework for reducing the computational complexity of simulation-driven automated design optimization processes, which are nowadays widely used in computer-aided product development, by exploiting quantum supremacy. Our approach is based on the assumption that quantum computers will become part of hybrid high-performance computing platforms and can then be used as application-specific accelerator devices.

Original languageEnglish
Pages (from-to)67-71
Number of pages5
JournalMicroprocessors and Microsystems
Publication statusPublished - 2019


  • Automated design optimization
  • High-performance computing
  • Quantum algorithms
  • Quantum-accelerated computing
  • Scientific computing

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