Authors: Justin Kalloor, Mathias Weiden, Ed Younis, John Kubiatowicz, Bert De Jong, Costin Iancu

Published on: February 29, 2024

Impact Score: 7.2

Arxiv code: Arxiv:2403.00132

Summary

• What is new: This paper introduces a new methodology for evaluating how suitable algorithms are for different hardware platforms in quantum computing, emphasizing the importance of hardware-software co-design.
• Why this is important: The challenge in identifying the optimal system configuration for running algorithms on current quantum computers due to an expansive design space with no clear winning solution.
• What the research proposes: An evaluation of hardware design trade-offs across NISQ systems using algorithmic workloads and fidelity models, including a custom synthesis-driven circuit compilation workflow for minimal circuit representation.
• Results: Provided a comprehensive method to assess algorithm suitability for quantum computing hardware platforms, highlighting the need for a broader criteria in gate design and selection beyond average fidelity.

Technical Details

Technological frameworks used: Custom synthesis-driven circuit compilation workflow

Models used: Algorithmic workloads, algorithm fidelity models

Data used: Native entangling gates, proposed gates, parameterized gates

Potential Impact

Quantum computing industry, particularly companies involved in quantum hardware manufacture and quantum algorithm development.

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