314 citations · 1.4k across the 44 of their papers we have counts for
4 papers · 1 filter
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness
Yang Qian, Xinbiao Wang, Yuxuan Du +2
Quantum Approximate Optimization Algorithm (QAOA) and its variants exhibit immense potential in tackling combinatorial optimization challenges. However, their practical realization…
Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits
Yuxuan Du, Min-Hsiu Hsieh, Dacheng Tao
The vast and complicated large-qubit state space forbids us to comprehensively capture the dynamics of modern quantum computers via classical simulations or quantum tomography. Rec…
Quantum Compiling with Reinforcement Learning on a Superconducting Processor
Z. T. Wang, Qiuhao Chen, Yuxuan Du +16
To effectively implement quantum algorithms on noisy intermediate-scale quantum (NISQ) processors is a central task in modern quantum technology. NISQ processors feature tens to a…
Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem
Xinbiao Wang, Yuxuan Du, Kecheng Liu +3
The No-Free-Lunch (NFL) theorem, which quantifies problem- and data-independent generalization errors regardless of the optimization process, provides a foundational framework for…