most citedQuantum Approximate Optimization Algorithm for Maximum Likelihood Detection in Massive MIMO

7 citations · 7 across the 3 of their papers we have counts for

collaborators

6 papers

quant-ph2025

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…

quant-ph2025

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…

quant-ph2025

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…

quant-ph20257 cited

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…

eess.SY2025

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…

quant-ph2025

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…