circuit compression 1clifford rounding 1quantum chemistry 1subspace quantum diagonalization 1variational quantum eigensolver 1
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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
QCS-ADME: Quantum Circuit Search for Drug Property Prediction with Imbalanced Data and Regression Adaptation
Kangyu Zheng, Tianfan Fu, Zhiding Liang
The biomedical field is beginning to explore the use of quantum machine learning (QML) for tasks traditionally handled by classical machine learning, especially in predicting ADME…
quant-ph2025
Quantum-machine-assisted Drug Discovery
Yidong Zhou, Jintai Chen, Jinglei Cheng +8
Drug discovery is lengthy and expensive, with traditional computer-aided design facing limits. This paper examines integrating quantum computing across the drug development cycle t…