activity
20232026
collaborators
Showing quant-phShow all

5 papers · 1 filter

quant-ph2026

Virtual quantum neural networks

Benchi Zhao, Xuanqiang Zhao, Yinan Li +2

Quantum neural networks are a prominent model of quantum machine learning. Their training consists in the minimization of a given loss function over a parametrized family of quantu…

quant-ph2026

Structure-Aware Compilation for Scalable Neutral-Atom Quantum Computing

Dekuan Dong, Fengyu Zou, Hengzhun Chen +2

We study the compilation of structured quantum gate families on two-dimensional neutral-atom arrays, aiming to reduce addressing and transport overhead under realistic hardware con…

quant-ph2026

Harnessing dark states: coherent control in coupled cavity-Rydberg-atom systems

Ying-Zhi Li, Xuan Zhao, Le-Man Kuang +1

The dark-state effect, caused by destructive interference, not only is an important fundamental research topic in atomic physics and quantum optics, but also has wide potential app…

quant-ph2025

State-Specific Orbital Optimization for Enhanced Excited-States Calculation on Quantum Computers

Guorui Zhu, Joel Bierman, Jianfeng Lu +1

We propose a state-specific orbital optimization scheme for improving the accuracy of excited states of the electronic structure Hamiltonian for the use on near-term quantum comput…

quant-ph2025

Quantum Circuit for Non-Unitary Linear Transformation of Basis Sets

Guorui Zhu, Joel Bierman, Jianfeng Lu +1

This paper introduces a novel approach to implementing non-unitary linear transformations of basis on quantum computational platforms, a significant leap beyond the conventional un…