QST Seminar - Entanglement structures and information dynamics in random quantum circuits

Random quantum circuits emerge as a new platform for quantum many-body physics and a tractable setting to explore universal phenomena far from equilibrium. These models have provided new insights into thermalization and chaos through the lens of quantum information and entanglement. In this talk, I will first review the statistical model mapping and the entanglement membrane picture for theoretical analysis of random circuits. Afterwards, I will discuss several closely related topics: 1. Thermalization, symmetry restoration, and quantum Mpemba effects presented in symmetric random circuits. 2. Information capacity, dynamical behaviors, and steady-state distribution across different classes of random circuits. 3. Entanglement phase transitions and information protection time scales in monitored noisy random circuits.

Event Format
Speakers / Performers:
Shixin Zhang (张士欣)
Tencent Quantum Lab (腾讯量子实验室)

Shixin Zhang, currently the senior research scientist at Tencent Quantum Lab. He obtained his PhD in physics from Institute for Advanced Study, Tsinghua University, supervised by Prof. Hong Yao. He graduated with outstanding PhD and outstanding thesis award at Tsinghua University. Before this, he obtained his bachelor’s degree in physics from Department of Physics, Tsinghua University in 2016. His main research interests include quantum algorithms, quantum non-equilibrium physics, quantum software, and machine learning applications in quantum physics.

Language
Mandarin
Recommended For
Faculty and staff
PG students
Organizer
Center of Quantum Science and Technology, HKUST(GZ)
Advanced Materials Thrust, Function Hub, HKUST (GZ)
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