10 citations · 15 across the 6 of their papers we have counts for
6 papers
Hypothesis testing between quantum ensembles
Jian Yao, Quntao Zhuang
Quantum state ensembles are important in quantum information processing. For example, quantum -designs model highly entangled states in complex systems, while projected ensemble…
Hierarchy of discriminative power and complexity in learning quantum ensembles
Jian Yao, Pengtao Li, Xiaohui Chen +1
Distance metrics are central to machine learning, yet distances between ensembles of quantum states remain poorly understood due to fundamental quantum measurement constraints. We…
HQFNN: A Compact Quantum-Fuzzy Neural Network for Accurate Image Classification
Jianhong Yao, Yangming Guo
Deep learning vision systems excel at pattern recognition yet falter when inputs are noisy or the model must explain its own confidence. Fuzzy inference, with its graded membership…
ShadowGPT: Learning to Solve Quantum Many-Body Problems from Randomized Measurements
Jian Yao, Yi-Zhuang You
We propose ShadowGPT, a novel approach for solving quantum many-body problems by learning from randomized measurement data collected from quantum experiments. The model is a genera…
Active Learning for Discovering Complex Phase Diagrams with Gaussian Processes
Max Zhu, Jian Yao, Marcus Mynatt +5
We introduce a Bayesian active learning algorithm that efficiently elucidates phase diagrams. Using a novel acquisition function that assesses both the impact and likelihood of the…
Proposals for ruling out the real quantum theories in an entanglement-swapping quantum network with causally independent sources
Jian Yao, Hu Chen, Ya-Li Mao +2
The question of whether complex numbers play a fundamental role in quantum theory has been debated since the inception of quantum mechanics. Recently, a feasible proposal to differ…