https://github.com/iitis/dwave-thermodynamics

https://github.com/iitis/dwave-thermodynamics

Last synced: 9 months ago
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• Host: GitHub
• URL: https://github.com/iitis/dwave-thermodynamics
• Owner: iitis
• License: cc-by-4.0
• Created: 2023-01-27T11:38:54.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2024-03-18T11:35:24.000Z (over 2 years ago)
• Last Synced: 2025-01-17T13:32:34.180Z (over 1 year ago)
• Language: Python
• Size: 45.2 MB
• Stars: 2
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Citation: CITATION.cff

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README

          
# Efficiency optimization in quantum computing: balancing thermodynamics and computational performance

Tomasz Śmierzchalski, Zakaria Mzaouali, Sebastian Deffner, Bartłomiej Gardas

This repository contains code used to produce results reported in [Efficiency optimization in quantum computing: balancing thermodynamics and computational performance](https://www.nature.com/articles/s41598-024-55314-z). We investigate the computational efficiency and thermodynamic cost of the D-Wave quantum annealer under reverse-annealing with and without pausing. Our demonstration on the D-Wave 2000Q annealer shows 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, which are reproducible, provide strategies for optimizing the performance and energy consumption of quantum annealing systems employing reverse-annealing protocols.