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20232026
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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…

math.NA2026

SinCoTrap: A High-Order Locally Corrected Trapezoidal Rule for Periodic Singular Integrals in Arbitrary Dimensions

Hengzhun Chen, Yingzhou Li

We present SinCoTrap (Singularity-Corrected Trapezoidal Rule), a high-order locally corrected trapezoidal method for periodic singular integrals in arbitrary dimension with ker…

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…

physics.comp-ph2026

CDFCI: High-Performance Parallel Software for Quantum Many-Body Eigenvalue Problems

Yuejia Zhang, Zhe Wang, Jianfeng Lu +1

CDFCI is a shared-memory parallel numerical program for computing low-lying eigenpairs of large-scale, non-relativistic fermionic Hamiltonians. The software is designed to handle a…

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…