most citedLarge-scale Efficient Molecule Geometry Optimization with Hybrid Quantum-Classical Computing

4 citations · 6 across the 7 of their papers we have counts for

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quant-ph2026

Enhanced Neural Quantum State via Annealed Gradient Descent

Shiwei Zhou, Yiming Huang, Xiao Yuan +1

Neural quantum states offer expressive representations of quantum many-body wave functions, yet their practical accuracy can be limited by stochastic optimization rather than repre…

quant-ph2026

Universal Analog Quantum Simulation

Yiming Huang, Jiaxing Song, Xiaoxia Cai +1

Analog quantum simulators emulate complex many-body dynamics through native continuous-time evolution under hardware-defined interactions. Yet once a platform is specified, its int…

quant-ph2026

Theory of Quantum Imaginary-Time Mpemba Effect

Yumeng Zeng, Jeongrak Son, Mile Gu +1

Quantum imaginary-time evolution (QITE) is a fundamental framework for preparing ground and thermal states, yet its computational cost scales significantly with the evolution durat…

quant-ph2026

A unified framework for efficient quantum simulation of nonlinear spectroscopy

Long Xiong, Xiaoyang Wang, Xiaoxia Cai +1

Nonlinear spectroscopy is a cornerstone of quantum science, providing unique access to multi-point correlations, quantum coherence, and couplings that are invisible to linear metho…

quant-ph2026

A Review of Variational Quantum Algorithms: Insights into Fault-Tolerant Quantum Computing

Zhirao Wang, Junxiang Huang, Runyu Ye +8

Variational quantum algorithms (VQAs) have established themselves as a central computational paradigm in the Noisy Intermediate-Scale Quantum (NISQ) era. By coupling parameterized…

quant-ph2026★ 2 cited

Constraint-Aware Quantum Optimization via Hamming Weight Operators

Yajie Hao, Qiming Ding, Xiao Yuan +1

Constrained combinatorial optimization with strict linear constraints underpins applications in drug discovery, power grids, logistics, and finance, yet remains computationally dem…

quant-ph2025

PALQO: Physics-informed Model for Accelerating Large-scale Quantum Optimization

Yiming Huang, Yajie Hao, Jing Zhou +3

Variational quantum algorithms (VQAs) are leading strategies to reach practical utilities of near-term quantum devices. However, the no-cloning theorem in quantum mechanics preclud…

quant-ph2025★ 4 cited

Large-scale Efficient Molecule Geometry Optimization with Hybrid Quantum-Classical Computing

Yajie Hao, Qiming Ding, Xiaoting Wang +1

Accurately and efficiently predicting the equilibrium geometries of large molecules remains a central challenge in quantum computational chemistry, even with hybrid quantum-classic…