Efficiency Optimization in Quantum Computing: Balancing Thermodynamics and Computational Performance

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.

arXiv comment9 pages, 7 figures

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• The Role of Quantum Computing in Advancing Scientific High-Performance Computing: A perspective from the ADAC Institute
• Reverse quantum annealing assisted by forward annealing
• Navigating the phase diagram of quantum many-body systems in phase space
• Analytical shortcuts to adiabaticity of weakly driven processes
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• Information Processing in Quantum Thermodynamic Systems: an Autonomous Hamiltonian Approach
• Thermodynamic significance of QUBO encoding on quantum annealers