Publication: Demon-like Algorithmic Quantum Cooling and Its Realization with Quantum Optics
Date
2014
Published Version
Journal Title
Journal ISSN
Volume Title
Publisher
Nature Publishing Group
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Citation
Xu, 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.
Research Data
Abstract
Simulation 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.
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Keywords
quantum physics, optics
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