2 citations · 4 across the 9 of their papers we have counts for
9 papers
Probing quantumness of superpositions of Gaussian states via Tsirelson probability
Yue Zhang
Quantifying nonclassicality in continuous-variable systems remains a fundamental problem in quantum information science. The Tsirelson probability, central to the Tsirelson precess…
Uncovering Non-Gaussianity through Multi-Copy Symmetries
Hao Dai, Yue Zhang
Gaussian states are fundamental in continuous-variable quantum information, yet characterizing non-Gaussianity remains challenging due to the non-convexity of the Gaussian set. Exi…
Complexity of quantum states in the stabilizer formalism
Shuangshuang Fu, Shunlong Luo, Yue Zhang
We initiate an investigation into a notion of state complexity for discrete-variable quantum systems. Specifically, we propose an information-theoretic quantifier for the complexit…
Phase-sensitive superposition of quantum states
Xiaotong Wang, Shunlong Luo, Yue Zhang
Although the principle of superposition lies at the heart of quantum mechanics and is the root of almost all quantum phenomena such as coherence and entanglement, its quantificatio…
Spin minimum uncertainty states for refined uncertainty relations
Hao Dai, Yue Zhang
Minimum uncertainty states of the conventional Heisenberg uncertainty relation have been extensively studied and are often regarded as the most classical quantum states from the pe…
Fisher discord as a quantifier of quantum complexity
Huihui Li, Shunlong Luo, Yue Zhang
Two classically equivalent expressions of mutual information of probability distributions (classical bipartite states) diverge when extended to quantum systems, and this difference…
Statistical phase-space complexity of continuous-variable quantum channels
Siting Tang, Francesco Albarelli, Yue Zhang +2
The statistical complexity of continuous-variable quantum states can be characterized with a quantifier defined in terms of information-theoretic quantities derived from the Husimi…
Quantifying complexity of continuous-variable quantum states via Wehrl entropy and Fisher information
Siting Tang, Francesco Albarelli, Yue Zhang +2
The notion of complexity of quantum states is quite different from uncertainty or information contents, and involves the tradeoff between its classical and quantum features. In thi…
An Efficient Quantum Classifier Based on Hamiltonian Representations
Federico Tiblias, Anna Schroeder, Yue Zhang +2
Quantum machine learning (QML) is a discipline that seeks to transfer the advantages of quantum computing to data-driven tasks. However, many studies rely on toy datasets or heavy…