7 citations · 11 across the 6 of their papers we have counts for
9 papers
Shot and Architecture Adaptive Subspace Variational Quantum Eigensolver for Microwave Simulation
Zhixiu Han, Fanxu Meng, Weidong Li +2
Quantum computing offers a promising paradigm for electromagnetic eigenmode analysis, enabling compact representations of complex field interactions and potential exponential speed…
Quantum-Based Self-Attention Mechanism for Hardware-Aware Differentiable Quantum Architecture Search
Yuxiang Liu, Sixuan Li, Fanxu Meng +2
The automated design of parameterized quantum circuits for variational algorithms in the NISQ era faces a fundamental limitation, as conventional differentiable architecture search…
Optimal Distributed Similarity Estimation of Quantum Channels
Congcong Zheng, Kun Wang, Xutao Yu +2
As quantum processors are deployed across different hardware platforms and remote cloud laboratories, a basic physical question is whether two black-box devices realize the same qu…
Efficient Self-Consistent Quantum Comb Tomography on the Product Stiefel Manifold
Xinlin He, Zetong Li, Congcong Zheng +3
Characterizing non-Markovian quantum dynamics is currently hindered by the self-inconsistency and high computational complexity of existing quantum comb tomography (QCT) methods. I…
Quantum Approximate Optimization Algorithm for Maximum Likelihood Detection in Massive MIMO
Yuxiang Liu, Fanxu Meng, Zetong Li +2
In the massive multiple-input and multiple-output (Massive MIMO) systems, the maximum likelihood (ML) detection problem is NP-hard and becoming classically intricate with the numbe…
An Adaptive Environment-Aware Transformer Autoencoder for UAV-FSO with Dynamic Complexity Control
Han Zeng, Haibo Wang, Kan Wang +2
The rise of sixth-generation (6G) wireless networks sets high demands on UAV-assisted Free Space Optical (FSO) communications, where the channel environment becomes more complex an…
Distributed Quantum Inner Product Estimation with Structured Random Circuits
Congcong Zheng, Kun Wang, Xutao Yu +2
Distributed inner product estimation (DIPE) is a fundamental task in quantum information, aiming to estimate the inner product between two unknown quantum states prepared on distri…
Output Prediction of Quantum Circuits based on Graph Neural Networks
Yuxiang Liu, Fanxu Meng, Lu Wang +3
The output prediction of quantum circuits is a formidably challenging task imperative in developing quantum devices. Motivated by the natural graph representation of quantum circui…
Efficient Verification of Stabilizer Code Subspaces with Local Measurements
Congcong Zheng, Xutao Yu, Zaichen Zhang +2
We address the task of verifying whether a quantum computer, designed to be protected by a specific stabilizer code, correctly encodes the corresponding logical qubits. To achieve…