5 citations · 8 across the 4 of their papers we have counts for
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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…