Efficiency Optimization in Quantum Computing: Balancing Thermodynamics and Computational Performance

TL;DR

This paper explores how reverse-annealing with pausing can enhance the efficiency and reduce the thermodynamic costs of quantum annealers, providing strategies for optimizing performance and energy use.

Contribution

It introduces combined reverse-annealing and pausing techniques as a novel approach to improve quantum annealer efficiency and minimize thermodynamic costs.

Findings

Reverse-annealing with pausing improves computational efficiency.

Magnetic field positively impacts performance during reverse-annealing.

Pausing can reduce thermodynamic costs in quantum annealing.

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.