2 citations · 5 across the 9 of their papers we have counts for
9 papers
Constant-depth global shadow estimation
Qingyue Zhang, Zhou You, Dayue Qin +3
Reliable and scalable readout strategies are essential for quantum technologies. As quantum processors grow, extracting useful information must remain feasible without measurement…
Ultra-Precise Quantum Projective Designs in Constant Depth
Qingyue Zhang, Junjie Chen, Zhou You +1
Random quantum objects are powerful resources for quantum information processing, yet exact Haar randomness is costly and typically unnecessary. We introduce an explicit sparse com…
Quantum Nonlinear Properties from a Single Measurement Setting
Zihao Li, Datong Chen, Dayue Qin +2
Nonlinear properties of quantum states are essential to quantum information and many-body physics, but assessing them experimentally is challenging, as it typically requires multi-…
Phase shadow: A noise-tolerant path to global quantum property estimation
Qingyue Zhang, Dayue Qin, Zhou You +3
Measuring global quantum properties-such as the fidelity to complex multipartite states-is both an essential and experimentally challenging task. Classical shadow estimation offers…
Nearly query-optimal classical shadow estimation of unitary channels
Zihao Li, Changhao Yi, You Zhou +1
Classical shadow estimation (CSE) is a powerful tool for learning the properties of quantum states and quantum processes. Here we consider the CSE task for quantum unitary channels…
Circuit optimization of qubit IC-POVMs for shadow estimation
Zhou You, Qing Liu, You Zhou
Extracting information from quantum systems is crucial in quantum physics and information processing. Methods based on randomized measurements, like shadow estimation, show advanta…
Auxiliary-Free Replica Shadows: Efficient Estimation of Multiple Nonlinear Quantum Properties
Qing Liu, Zihao Li, Xiao Yuan +2
Efficient estimation of nonlinear properties is a significant yet challenging task from quantum information processing to many-body physics. Current methodologies often suffer from…
Experimental Hybrid Shadow Tomography and Distillation
Xu-Jie Peng, Qing Liu, Lu Liu +3
Characterization of quantum states is a fundamental requirement in quantum science and technology. As a promising framework, shadow tomography shows significant efficiency in estim…
Minimal Clifford Shadow Estimation by Mutually Unbiased Bases
Qingyue Zhang, Qing Liu, You Zhou
Predicting properties of large-scale quantum systems is crucial for the development of quantum science and technology. Shadow estimation is an efficient method for this task based…