From the 1 of 9 linked papers with an AI index.
9 papers
Quantum probe advantage in learning many-body systems
Wenzheng Dong, Andrew G. Green, Vlatko Vedral +1
The paper shows that coherently controlled quantum probes can learn properties of many‑body systems—such as fluctuations, non‑equilibrium structure, and entanglement entropy—by mea…
Hysteretic squashed entanglement in many-body quantum systems
Siddhartha Das, Alexander Yosifov, Jinzhao Sun
Entanglement in many-body quantum systems is distributed across spatial regions, where its structure often dictates the information-processing capabilities of the state. Yet, chara…
On the emergence of quantum memory in non-Markovian dynamics
Alexander Yosifov, Aditya Iyer, Vlatko Vedral +1
The emergence of memory is a hallmark feature of non-Markovian dynamics. However, the type of memory -- classical or quantum -- required to realize certain dynamics remains unknown…
Quantum computing quantum Monte Carlo algorithm
Yukun Zhang, Yifei Huang, Jinzhao Sun +2
Quantum computing and quantum Monte Carlo (QMC) are respectively the state-of-the-art quantum and classical computing methods for understanding many-body quantum systems. Here, we…
Topological network analysis using a programmable photonic quantum processor
Shang Yu, Jinzhao Sun, Zhenghao Li +11
Understanding topological features in networks is crucial for unravelling complex phenomena across fields such as neuroscience, condensed matter, and high-energy physics. However,…
Universal Quantum Computational Spectroscopy on a Quantum Chip
Chonghao Zhai, Jinzhao Sun, Jieshan Huang +7
Spectroscopy underpins modern scientific discovery across diverse disciplines. While experimental spectroscopy probes material properties through scattering or radiation measuremen…