activity
19962023
most citedLong-distance quantum communication with atomic ensembles and linear optics

3.6k citations · 15.5k across the 170 of their papers we have counts for

collaborators

170 papers

quant-ph2023

Realization of a crosstalk-avoided quantum network node with dual-type qubits by the same ion species

L. Feng, Y. -Y Huang, Y. -K. Wu +12

Generating ion-photon entanglement is a crucial step for scalable trapped-ion quantum networks. To avoid the crosstalk on memory qubits carrying quantum information, it is common t…

quant-ph2023

Frequency-tunable microwave quantum light source based on superconducting quantum circuits

Yan Li, Zhiling Wang, Zenghui Bao +7

A nonclassical light source is essential for implementing a wide range of quantum information processing protocols, including quantum computing, networking, communication, and metr…

quant-ph2023★ 25 cited

Embedding Quantum Many-Body Scars into Decoherence-Free Subspaces

He-Ran Wang, Dong Yuan, Shun-Yao Zhang +3

Quantum many-body scars are non-thermal excited eigenstates of non-integrable Hamiltonians, which could support coherent revival dynamics from special initial states when scars for…

quant-ph2023★ 5 cited

Dynamical phase transitions of information flow in random quantum circuits

J. -Z. Zhuang, Y. -K. Wu, L. -M. Duan

We study how the information flows in many-body dynamics governed by random quantum circuits and discover a rich set of dynamical phase transitions in this information flow. The ph…

quant-ph2023★ 58 cited

Probing Complex-energy Topology via Non-Hermitian Absorption Spectroscopy in a Trapped Ion Simulator

Mingming Cao, Kai Li, Wending Zhao +6

Non-Hermitian systems generically have complex energies, which may host topological structures, such as links or knots. While there has been great progress in experimentally engine…

quant-ph2023★ 2 cited

Theory on variational high-dimensional tensor networks

Zidu Liu, Qi Ye, Li-Wei Yu +2

Tensor network methods are powerful tools for studying quantum many-body systems. In this paper, we investigate the emergent statistical properties of random high-dimensional tenso…