Update README.md

README.md

@@ -1,2 +1,5 @@
-# dwave-thermodynamics
-TBD
+# 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.