circuit compression 1clifford rounding 1quantum chemistry 1subspace quantum diagonalization 1variational quantum eigensolver 1
From the 1 of 3 linked papers with an AI index.
3 papers
quant-ph2026
SQD-Enabled Circuit Compression for Resource-Efficient Quantum Chemistry
Kangyu Zheng, Yidong Zhou, Jinglei Cheng +3
The paper introduces two methods—gradient-based operator pruning and Clifford rounding—to compress VQE circuits used with Subspace Quantum Diagonalization, achieving large reductio…
quant-ph2026
QuTuner: Feature- and Learning-Guided Optimization Pass Tuning for Quantum Compilers
Ming Zhong, Xiangyu Ren, Jinglei Cheng +2
Quantum compilers play a key role in transforming quantum circuits into lower-cost implementations with improved execution fidelity. This process is commonly guided by circuit-leve…
physics.chem-ph2026
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…