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人工智能拓展火灾安全研究的进展
From The Sky To The Sea
清华大学材料科学与工程研究院《材料科学论坛》:基于拓扑缺陷理论的轻合金组织设计新...
Quantum information processing based on bosonic modes
报告题目:
Entanglement Steering in Adaptive Circuits with Feedback
 报告人:
Xiao Chen (陈骁)
Boston College
报告时间:
2023-07-17 15:00
报告地点:
Conference Hall 104, Science Building, Tsinghua University
主办单位:
高等研究院
  简介:

The intensely studied measurement-induced entanglement phase transition has become a hallmark of non-unitary quantum many-body dynamics. Usually, such a transition only shows up at the level of each individual quantum trajectory, and is absent for the density matrix averaged over measurement outcomes. In this talk, we introduce a class of adaptive random circuit models with feedback that exhibit transitions in both settings. After each measurement, a unitary operation is either applied or not depending on the measurement outcome, which steers the averaged density matrix towards a unique state above a certain measurement threshold. Interestingly, the transition for the density matrix and the entanglement transition in the individual quantum trajectory in general happen at different critical measurement rates. We demonstrate that the former transition belongs to the parity-conserving universality class by an explicit mapping to a classical branching-annihilating random walk process.

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