5 citations · 8 across the 4 of their papers we have counts for
6 papers
Neural Correlation Learning for Quantum-Enhanced Sensing with Time-Independently Driven Rydberg Atom Arrays
Tao Zhang, Xiaotian Nie, Linghui Chen
Quantum-enhanced sensing typically relies on preparing specific entangled states. However, engineering these states in scalable many-body systems remains challenging due to the dif…
Exact Clifford Optimality for Two-Sided Locally Randomized Classical Shadows
Xiaotian Nie, Tao Zhang, Yadong Wu +1
Entangling measurements can reduce the cost of learning many-body correlations. We consider classical shadows in which a fixed unitary on a -qubit region is sandwiched between t…
Experiment-compatible measurement--feedback quantum state preparation with reinforcement learning
Xiaotian Nie, Tao Zhang, Linghui Chen
Ground-state preparation is a critical task in quantum simulation and quantum computing, as it enables the study of correlated phases and the generation of entangled resource state…
AI-Enabled Decoding of Qubit Loss for Quantum Error-Correcting Codes
Yuqing Wang, Xiaotian Nie, Jiale Dai +4
Qubit loss is a major source of error in quantum computation, as it invalidates the algebraic structure of the standard stabilizer formalism for quantum error-correcting codes. On…
Density-Dependent Gauge Field with Raman Lattices
Xiang-Can Cheng, Zong-Yao Wang, Jinyi Zhang +2
The study of the gauge field is an everlasting topic in modern physics. Spin-orbit coupling is a powerful tool in ultracold atomic systems, resulting in an artificial gauge field t…
Kibble-Zurek behavior in a topological phase transition with a quadratic band crossing
Huan Yuan, Jinyi Zhang, Shuai Chen +1
Kibble-Zurek (KZ) mechanism describes the scaling behavior when driving a system across a continuous symmetry-breaking transition. Previous studies have shown that the KZ-like scal…