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arXiv · 2307.14022

Efficiency Optimization in Quantum Computing: Balancing Thermodynamics and Computational Performance

Tomasz Śmierzchalski·Zakaria Mzaouali·Sebastian Deffner·Bartłomiej Gardas
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Abstract

We investigate the computational efficiency and thermodynamic cost of the D-Wave quantum annealer under reverse-annealing with and without pausing. Our experimental results demonstrate that the combination of reverse-annealing and pausing leads to improved computational efficiency while minimizing the thermodynamic cost compared to reverse-annealing alone. Moreover, we find that the magnetic field has a positive impact on the performance of the quantum annealer during reverse-annealing but becomes detrimental when pausing is involved. Our results provide strategies for optimizing the performance and energy consumption of quantum annealing systems employing reverse-annealing protocols.

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Tomasz Śmierzchalski, Zakaria Mzaouali, Sebastian Deffner, Bartłomiej Gardas. 2023-07-26. Efficiency Optimization in Quantum Computing: Balancing Thermodynamics and Computational Performance. https://doi.org/10.1038/s41598-024-55314-z

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