Quantum Award (IMAGE) DOE/Argonne National Laboratory Caption A multimodal landscape arising in the quantum approximation optimization algorithm. Dots show points evaluated by a multistart optimizer, which is better suited for finding good optima for this problem than classical methods. Developing specialized methods for such problems will be a part of FAR-QC. Credit Image by Ruslan Shaydulin, Ilya Safro and Jeffrey Larson. Multistart methods for quantum approximate optimization. To appear in: Proceedings of the IEEE High Performance Extreme Computing Conference. 2019. URL: <a href="https://arxiv.org/abs/1905.08768" target="_blank">https://arxiv.org/abs/1905.08768</a>. Usage Restrictions None License Licensed content Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.