Experimental characterization of quantum many-body localization transition

• URL: http://arxiv.org/abs/2012.11521v1
• Date: Mon, 21 Dec 2020 17:35:01 GMT
• Title: Experimental characterization of quantum many-body localization transition
• Authors: Ming Gong, Gentil D. de Moraes Neto, Chen Zha, Yulin Wu, Hao Rong, Yangsen Ye, Shaowei Li, Qingling Zhu, Shiyu Wang, Youwei Zhao, Futian Liang, Jin Lin, Yu Xu, Cheng-Zhi Peng, Hui Deng, Abolfazl Bayat, Xiaobo Zhu, Jian-Wei Pan
• Abstract summary: We experimentally implement a scalable protocol for detecting the many-body localization transition point. By exploiting three quantities, each with different spatial resolution, we identify the transition point with excellent match between simulation and experiment. The protocol is easily scalable and can be performed across various physical platforms.
• Score: 13.805666393282454
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: As strength of disorder enhances beyond a threshold value in many-body systems, a fundamental transformation happens through which the entire spectrum localizes, a phenomenon known as many-body localization. This has profound implications as it breaks down fundamental principles of statistical mechanics, such as thermalization and ergodicity. Due to the complexity of the problem, the investigation of the many-body localization transition has remained a big challenge. The experimental exploration of the transition point is even more challenging as most of the proposed quantities for studying such effect are practically infeasible. Here, we experimentally implement a scalable protocol for detecting the many-body localization transition point, using the dynamics of a $N=12$ superconducting qubit array. We show that the sensitivity of the dynamics to random samples becomes maximum at the transition point which leaves its fingerprints in all spatial scales. By exploiting three quantities, each with different spatial resolution, we identify the transition point with excellent match between simulation and experiment. In addition, one can detect the evidence of mobility edge through slight variation of the transition point as the initial state varies. The protocol is easily scalable and can be performed across various physical platforms.

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