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20212025
most citedOverlapped grouping measurement: A unified framework for measuring quantum states

53 citations · 126 across the 8 of their papers we have counts for

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8 papers

quant-ph2025

State Similarity in Modular Superconducting Quantum Processors with Classical Communications

Bujiao Wu, Changrong Xie, Peng Mi +20

As quantum devices continue to scale, distributed quantum computing emerges as a promising strategy for executing large-scale tasks across modular quantum processors. A central cha…

quant-ph2023★ 3 cited

Leakage Benchmarking for Universal Gate Sets

Bujiao Wu, Xiaoyang Wang, Xiao Yuan +2

Errors are common issues in quantum computing platforms, among which leakage is one of the most challenging to address. This is because leakage, i.e., the loss of information store…

quant-ph2023

Learning the Complexity of Weakly Noisy Quantum States

Yusen Wu, Bujiao Wu, Yanqi Song +2

Quantifying the complexity of quantum states is a longstanding key problem in various subfields of science, ranging from quantum computing to the black-hole theory. The lower bound…

quant-ph2022★ 14 cited

Tensor-network-assisted variational quantum algorithm

Junxiang Huang, Wenhao He, Yukun Zhang +3

Near-term quantum devices generally suffer from shallow circuit depth and hence limited expressivity due to noise and decoherence. To address this, we propose tensor-network-assist…

quant-ph2022★ 6 cited

Efficient measurement schemes for bosonic systems

Tianren Gu, Xiao Yuan, Bujiao Wu

Boson is one of the most basic types of particles and preserves the commutation relation. An efficient way to measure a bosonic system is important not only for simulating complex…

quant-ph2022★ 11 cited

Power of Quantum Generative Learning

Yuxuan Du, Zhuozhuo Tu, Bujiao Wu +2

The intrinsic probabilistic nature of quantum mechanics invokes endeavors of designing quantum generative learning models (QGLMs). Despite the empirical achievements, the foundatio…

quant-ph2021★ 39 cited

Quantum Phase Recognition via Quantum Kernel Methods

Yusen Wu, Bujiao Wu, Jingbo Wang +1

The application of quantum computation to accelerate machine learning algorithms is one of the most promising areas of research in quantum algorithms. In this paper, we explore the…

quant-ph2021★ 53 cited

Overlapped grouping measurement: A unified framework for measuring quantum states

Bujiao Wu, Jinzhao Sun, Qi Huang +1

Quantum algorithms designed for realistic quantum many-body systems, such as chemistry and materials, usually require a large number of measurements of the Hamiltonian. Exploiting…