4 papers
Hardware-Aware Quantum Kernel Design Based on Graph Neural Networks
Fanxu Meng, Yuxiang Liu, Lu Wang +3
Quantum kernels hold significant promise for achieving computational advantages in quantum machine learning (QML), yet their effectiveness critically depends on the design of expre…
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…
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…
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…