most citedByteQC: GPU-Accelerated Quantum Chemistry Package for Large-Scale Systems

7 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

physics.chem-ph2025

Quantum Many-Body Simulations of Catalytic Metal Surfaces

Changsu Cao, Hung Q. Pham, Zhen Guo +5

Quantum simulations of metal surfaces are critical for catalytic innovation. Yet existing methods face a cost-accuracy dilemma: density functional theory is efficient but system-de…

physics.chem-ph2025★ 7 cited

ByteQC: GPU-Accelerated Quantum Chemistry Package for Large-Scale Systems

Zhen Guo, Zigeng Huang, Qiaorui Chen +7

Applying quantum chemistry algorithms to large-scale systems requires substantial computational resources scaled with the system size and the desired accuracy. To address this, Byt…

cond-mat.mtrl-sci2025★ 2 cited

Advancing Surface Chemistry with Large-Scale Ab-Initio Quantum Many-Body Simulations

Zigeng Huang, Zhen Guo, Changsu Cao +5

Predictive simulation of surface chemistry is of paramount importance for progress in fields from catalysis to electrochemistry and clean energy generation. Ab-initio quantum many-…

quant-ph2024

Solving Sharp Bounded-error Quantum Polynomial Time Problem by Evolution methods

Zhen Guo, Li You

Counting ground state degeneracy of a -local Hamiltonian is important in many fields of physics. Its complexity belongs to the problem of sharp bounded-error quantum polynomial…

physics.chem-ph2024★ 5 cited

GPU-accelerated Auxiliary-field quantum Monte Carlo with multi-Slater determinant trial states

Yifei Huang, Zhen Guo, Hung Q. Pham +1

The accuracy of phaseless auxiliary-field quantum Monte Carlo (ph-AFQMC) can be systematically improved with better trial states. Using multi-Slater determinant trial states, ph-AF…