4 papers
Turning Quantum Compiler Configuration Selection Upside Down: A Top-Down Paradigm
Ming Zhong, Xiangyu Ren, Kangyu Zheng +4
Selecting an effective quantum compiler configuration requires coordinated decisions over both hardware targets and compiler settings, with the ultimate goal of improving circuit e…
SQD-Enabled Circuit Compression for Resource-Efficient Quantum Chemistry
Kangyu Zheng, Yidong Zhou, Jinglei Cheng +3
Sample-based Quantum Diagonalization (SQD) recovers ground-state energies by classically diagonalizing a Hamiltonian in the subspace spanned by quantum samples, requiring only bits…
QTUNER: A Feature-Guided Adaptive Framework for Quantum-Compiler Optimization Pass Tuning
Ming Zhong, Xiangyu Ren, Jinglei Cheng +2
Quantum compiler optimization is important for improving the execution fidelity of quantum circuits. In practice, this optimization is often formulated as reducing circuit-level me…
Q-Score: A Quantum-Native Scoring Function for Molecular Docking
Kangyu Zheng, Yidong Zhou, Ruihao Li +3
Molecular docking predicts how a small molecule binds to a protein and is a key bottleneck in drug discovery. Classical scoring functions sum empirical pairwise contacts, blind to…