Xu, Jin-ShiYung, Man-HongXu, Xiao-YeBoixo, SergioZhou, Zheng-WeiLi, Chuan-FengAspuru-Guzik, AlanGuo, Guang-Can2014-01-292014Xu, Jin-Shi, Man-Hong Yung, Xiao-Ye Xu, Sergio Boixo, Zheng-Wei Zhou, Chuan-Feng Li, Alán Aspuru-Guzik, and Guang-Can Guo. 2014. “Demon-like algorithmic quantum cooling and its realization with quantum optics.” Nature Photonics (January 19). doi:10.1038/nphoton.2013.354.1749-48851749-4893http://nrs.harvard.edu/urn-3:HUL.InstRepos:11596976Simulation of the low-temperature properties of many-body systems remains one of the major challenges in theoretical and experimental quantum information science. We present, and demonstrate experimentally, a universal (pseudo) cooling method that is applicable to any physical system that can be simulated by a quantum computer. This method allows us to distil and eliminate hot components of quantum states like a quantum Maxwell's demon. The experimental implementation is realized with a quantum optical network, and the results are in full agreement with theoretical predictions (with fidelity higher than 0.978). Applications of the proposed pseudo-cooling method include simulations of the low-temperature properties of physical and chemical systems that are intractable with classical methods.en-USquantum physicsopticsJournal Article2013-11-20Jin-Shi Xu, Man-Hong Yung, Xiao-Ye Xu, Sergio Boixo, Zheng-Wei Zhou, Chuan-Feng Li, Alán Aspuru-Guzik, Guang-Can Guo2014-01-2910.1038/nphoton.2013.354